analisis yuridis pemberian asimilasi dan hak integrasi bagi narapidana dalam rangka pencegahan dan penanggulangan covid-19

Dalam masa pandemi covid-19 Indonesia berusaha merespons wabah ini guna untuk percepatan penanganan, dan penekanan angka kejadian covid-19, oleh sebab itu terobosan hukum dilakukan dengan memberikan asimilasi dan hak integrasi kepada setiap narapidana dan anak, hal ini dilakukan guna untuk mengantisipasi penyebaran covid-19 di dalam lapas. Perbedaan pemberian asimilasi dan hak integrasi dalam Permenkumham Nomor 10 tahun 2020 memiliki perbedaan dengan peraturan sebelumnya, Penelitian ini adalah penelitian hukum normatif, yang dilakukan dengan cara meneliti bahan pustaka, yang merupakan data sekunder dan aturan perundang-undangan sebagai bahan hukum primer. Sedangkan metode pendekatan yang dipakai dalam penelitian ini, Pendekatan Perundang-Undangan (Statute Approach),Pendekatan Konseptual (Conceptual Approach) Pendekatan Kasus (Case Approach) dan Pendekatan Perbandingan/Komparatif (Comparative Approach). Kemudian teknik penelusuran bahan hukum adalah dengan menggunakan teknik library research.Berdasarkan penelitian tersebut ditemukan beberapa masalah: Bagaimana pengaturan asimilasi dan integrasi terhadap narapidana sebelum diberlakukannya Permenkumham RI. Nomor 10 tahun 2020?Bagaimana pemberian asimilasi dan integrasi terhadap narapidana setelah diberlakukannya Permenkumham RI Nomor 10 tahun 2020? Kata kunci: Asimlasi, Narapidana, Covid-19 ABSTRAC During the Covid-19 pandemic, Indonesia tried to respond to this outbreak in order to accelerate the handling and suppression of the number of covid-19 incidents, therefore legal breakthroughs were made by providing assimilation and integration rights to every prisoner and child, this was done in order to anticipate the spread of covid. -19 in prison. The difference between assimilation and integration rights in Permenkumham No.10 of 2020 is different from the previous regulations. This research is normative legal research, which is carried out by examining library materials, which are secondary data and statutory regulations as primary legal materials. While the approach method used in this research is the Statute Approach, the Conceptual Approach, the Case Approach and the Comparative Approach. Then the technique of tracing legal materials is to use the research library technique. Based on this research, several problems were found: How to regulate the assimilation and integration of inmates before the enactment of the RI Permenkumham. Number 10 of 2020? How is the provision of assimilation and integration to inmates after the enactment of the Republic of Indonesia Minister of Law and Human Rights Regulation No.10 of 2020?              

Pavement Surface Evaluation Using Mobile Terrestrial LiDAR Scanning Systems

Periodic measurement of pavement surfaces for pavement management system (PMS) data collection is vital for state transportation agencies. Vehicle-based mobile light detection and ranging (LiDAR) systems can be used as a versatile tool to collect point data throughout a roadway corridor. The overall goal of this research is to investigate if mobile terrestrial LiDAR Scanning (MTLS) systems can be used as an efficient and effective method to create accurate digital pavement surfaces for. LiDAR data were collected by five MTLS vendors. In particular, the research is interested in three things: 1) how accurate MTLS is for collecting roadway cross slopes; 2) what is the potential for using MTLS digital pavement surfaces to do materials calculations for pavement rehabilitation projects; and 3) examine the benefit of using MTLS to identify pavement rutting locations. Cross slopes were measured at 23 test stations using traditional surveying methods (conventional leveling served as ground-truth) and compared with adjusted and unadjusted MTLS extracted cross slopes. The results indicate that both adjusted and unadjusted MTLS derived cross slopes meet suggested cross slope accuracies (±0.2%). Application of unadjusted MTLS instead of post-processed MTLS point clouds may decrease/eliminate the cost of a control surveys. The study also used a novel approach to process the MTLS data in a geographic information system (GIS) environment to create a 3-dimension raster representation of a roadway surface. MTLS data from each vendor was evaluated in terms of the accuracy and precision of their raster surface. The resultant surfaces were compared between vendors and with a raster surface created from a centerline profile and 100-ft. cross-section data obtained using traditional surveying methods. When comparing LiDAR data between compliant MTLS vendors, average raster cell height differences averaged 0.21 inches, indicating LiDAR data has considerable potential for creating accurate pavement material volume estimates. The application of MTLS data was also evaluated in terms of the accuracy of collected transverse profiles. Transverse profiles captured from MTLS systems have been compared to 2-inch interval field data collection using partial curve mapping (PCM), Frechet distance, area, curve length, and Dynamic Time Warping (DTW) techniques. The results indicated that there is potential for MTLS systems for use in creating an accurate transverse profile for potential identification of pavement rut areas. This research also identified a novel approach for determining pavement rut areas based on the shape of grid cells. This rather simplistic approach is easily implementable on a network wide basis depending on MTLS point cloud availability. The method does not require the calculation/estimation of an ideal surface to determine rut depths/locations

Periodontal Disease, Bone Loss, and Anti-Androgen Therapy

Periodontitis is a multifactorial disease with microbial dental plaque as the etiological agent. The manifestation and progress of periodontitis is influenced by a wide variety of determinants and factors, including subject characteristics, social and behavioral factors, systemic factors, genetic factors, the microbial composition of dental plaque, and others. The pathogenesis of periodontal disease results in resorption of alveolar bone and loss of the attachment apparatus to the teeth. There is a biological potential that periodontal destruction may be influenced by systemic bone loss. Since alveolar bone loss is a prominent feature of periodontal disease, disturbances in bone mineral density (BMD), especially in the jaws, are suspected of being an aggravating factor in periodontal disease. In previously published research, the severity of osteoporosis may be related to tooth loss in post-menopausal women. Considering the relationship among bone mineral density, osteoporosis, and periodontitis in men, it is known that men completing androgen ablation therapy for control of prostate cancer are at higher risk for osteoporosis. As androgen deprivation therapy is the recommended treatment for men with metastatic or locally-advanced nonmetastatic prostate carcinoma, and as prostate carcinoma is the most common visceral malignancy and the second leading cause of death from cancer in men, the relationship between androgen deprivation therapy and loss of bone mineral density is a matter of public health importance.This dissertation assesses the association between bone mineral density, the presence of periodontal disease, and the possible subsequent onset of clinical osteoporosis, as seen among a population of older women followed longitudinally; a set of men with prostate carcinoma undergoing androgen ablation therapy; and those men in the same set not receiving androgen ablation for prostate cancer. We believe our research, using the model of periodontal bone density and oral bone loss, shows additional clear empirical evidence pointing to a cause-and-effect relationship between androgen deprivation therapy and loss of bone mineral density

Biological membrane in presence of alcohol and anti-asthma drugs: a molecular dynamics study

This thesis is dealing with drug delivery systems for anti-asthma drugs. We have investigated about the effect of different components in a drug delivery system where liposomes are drug carriers. These components include alcohol, which is used as a solvent in the system and the drug itself. In order to gain a better understanding of the effect of alcohol and anti-asthma drugs on phospholipid bilayer a series of atomistic molecular dynamics (MD) have been carried out. Although alcohol is widely used as a solvent in drug delivery systems, it is known that it can affect a lipid bilayer. The effect of two different alcohol molecules (ethanol and methanol) on lipid bilayer has been compared taking into account different concentrations of ethanol and methanol (0\%-30\%) in the third chapter of this thesis. In the fourth chapter the effect of three hydrophobic anti-asthma drugs including Beclomethasone Dipropionate, Fluticasone Propionate and Prednisone on lipid bilayer is investigated. The behaviour of these three anti-asthma drugs in various positions with respect to the bilayer as well as their preferred position in the bilayer and alcohol role in penetration of drug inside the bilayer is studied in this chapter. Studying the effect of alcohol on DMPC lipid bilayer has shown that ethanol and methanol have destructive effect on lipid bilayer such as causing lipids expansion (increasing the area per lipid), interdigitation and changing the deuterium order parameter of lipid molecules. It is also shown that ethanol effect on DMPC lipid bilayer is more in comparison with methanol. The MD studies on three anti-asthma drugs have shown that the drugs are stable inside the lipid bilayer. It is also observed that drug molecules preferable position inside the bilayer is close to the lipid head groups according to the hydrogen bonds and electrostatic interactions between the drug molecule and lipids head groups. It is also shown that presence of ethanol as a solvent, enhance the penetration of drug molecule inside the lipid bilayer

17-09 Assessing the Impact of Air Pollution on Public Health Along Transit Routes

Transportation sources account for a large proportion of the pollutants found in most urban areas. Also, transportation activity and intensity appear likely to contribute to the risk of respiratory disease occurrence. This research investigates the impacts of transportation, urban design and socioeconomic characteristics on the risk of air pollution-related respiratory diseases in two of the biggest MSAs (Metropolitan Statistical Areas) in the US, Dallas-Fort Worth (DFW) and Los Angeles at the block group (BG) level, by considering the US Environmental Protection Agency’s respiratory hazard quotient (RHQ) as the dependent variable. The researchers identify thirty candidate indicators of disease risk from previous studies and use them as independent variables in the model. The study applies a three-step modeling including Principal Component Analysis (PCA), Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) to reach the final model. The results of this study demonstrate strong spatial correlations in the variability in both MSAs which help explain the impact of the indicators such as socioeconomic characteristics, transit access to jobs, and automobile access on the risk of respiratory diseases. The populations living in areas with higher transit access to jobs in urbanized areas and greater automobile access in more rural areas appear more prone to respiratory diseases after controlling for demographic characteristics

Application of an Intelligent Fuzzy Regression Algorithm in Road Freight Transportation Modeling

Road freight transportation between provinces of a country has an important effect on the traffic flow of intercity transportation networks. Therefore, an accurate estimation of the road freight transportation for provinces of a country is so crucial to improve the rural traffic operation in a large scale management. Accordingly, the focused case study database in this research is the information related to Iran’s provinces in the year 2008. Correlation between road freight transportation with variables such as transport cost and distance, population, average household income and Gross Domestic Product (GDP) of each province is calculated. Results clarify that the population is the most effective factor in the prediction of provinces’ transported freight. Linear Regression Model (LRM) is calibrated based on the population variable, and afterwards Fuzzy Regression Algorithm (FRA) is generated on the basis of the LRM. The proposed FRA is an intelligent modified algorithm with an accurate prediction and fitting ability. This methodology can be significantly useful in macro-level planning problems where decreasing prediction error values is one of the most important concerns for decision makers. In addition, Back-Propagation Neural Network (BPNN) is developed to evaluate the prediction capability of the models and to be compared with FRA. According to the final results, the modified FRA estimates road freight transportation values more accurately than the BPNN and LRM. Finally, in order to predict the road freight transportation values, the reliability of the calibrated models is analyzed using the information of the year 2009. Results show higher reliability for the proposed modified FRA.</p

A Method of Steganography – P Message With Q Coefficient (SPMQC)

In this paper, we are going to propose a method for Steganography- which is based on deceiving χ2 algorithm. Since the cover image coefficients and stego image coefficients histograms have significant differences for purposes of statistical properties, statistical analysis of χ2-test reveals the existence of hidden messages inside stego image. We are introducing an idea for hiding messages in the cover image. It causes that DCT (Discrete Cosine Transforms) coefficient histogram not to have remarkable modification before and after embedding message. As a result, identifying the hidden message inside an image is impossible for an eavesdropper through χ2 -test. In this paper, we are proposing a better method with developing this algorithm. In fact, the capacity and the security of embedding messages increase extremely.DOI:http://dx.doi.org/10.11591/ijece.v3i2.201

Adaptive Adjustment of PSO Coefficients Taking the Notion from the Bee Behavior in Collecting Nectar

In particle swarm optimization, a set of particles move towards the global optimum point according to their experience and experience of other particles. Parameters such as particle rate, particle best experience, the best experience of all the particles and particle current position are used to determine the next position of each particle. Certain relationships received the input parameters and determined the next position of each particle. In this article, the relationships are accurately assessed and the amount of the effect of input parameters is horizontally set. To set coefficients adaptively, the notion is taken from bee behavior in collecting nectar. This method was implemented on software and examined in the standard search environments. The obtained results indicate the efficiency of this method in increasing the rate of convergence of particles towards the global optimum

“Au travers des oliviers” ou le flagrant délit de Legender

"Au travers des Oliviers". Un nouveau film de Kiarostami. Et pourtant rien n'est moins sûr. Le même décor que ses deux films précédents : Koker, le nord de l'Iran. Le même couple que celui du film “Et la vie continue!” de 1992. Le couple marié au lendemain du tremblement de terre survenu en 1991. Pour son nouveau film, Kiarostami prend greffe sur cette histoire. Mais il y a aussi d'autres greffes, prises sur d'autres films du cinéaste dont le premier de cette trilogie : “Où est la maison de m..