The Social Impact of Substance Abuse on Males livelihood in Punjab, Pakistan

Substance abuse is a dependence on a legal or illegal drug or medication. Substance abuse is a worldwide growing problematic situation and one of the major problems affecting male livelihood. During the phase of addiction, a person is unable to control his drug intakes and usually continues to use drugs regardless of the harm it causes. This study was designed to explore the impacts of substance use on male’s livelihood. This study has carried out in two districts of Punjab. A sample of 400 respondents was drawn to explore the study goals using a conducive sampling technique. In order to evaluate the research sample, descriptive (frequency distribution) and inferential (chi-square) statistics were enforced. The research discovered that 38.0 percent of the substance abusers were up to 25 years of age while 40.5 percent of addicts were nuclear family members. Approximately 49.5 % and 48.8 % were unmarried and married respectively. Various factors such as nuclear family structure, bigger family size and low level of education play a significant role in drug abusers’ lives. The study concluded that drug use leads to domestic violence, the alliance between drug use, unemployment and poverty is also clear; drug users’ family members said that 60 percent of consumers who were employed before drugs had afterwards lost their jobs. Furthermore, almost 50 percent of the family members interviewed said that they had been forced by drug consumers to borrow money as a result of drug and almost 70 percent said that they had confronted financial complications as a result of that drug use. It is suggested that peer groups and family behaviors affected the livelihood of substance abusers

The Social Impact of Substance Abuse on Males livelihood in Punjab, Pakistan

Substance abuse is a dependence on a legal or illegal drug or medication. Substance abuse is a worldwide growing problematic situation and one of the major problems affecting male livelihood. During the phase of addiction, a person is unable to control his drug intakes and usually continues to use drugs regardless of the harm it causes. This study was designed to explore the impacts of substance use on male’s livelihood. This study has carried out in two districts of Punjab. A sample of 400 respondents was drawn to explore the study goals using a conducive sampling technique. In order to evaluate the research sample, descriptive (frequency distribution) and inferential (chi-square) statistics were enforced. The research discovered that 38.0 percent of the substance abusers were up to 25 years of age while 40.5 percent of addicts were nuclear family members. Approximately 49.5 % and 48.8 % were unmarried and married respectively. Various factors such as nuclear family structure, bigger family size and low level of education play a significant role in drug abusers’ lives. The study concluded that drug use leads to domestic violence, the alliance between drug use, unemployment and poverty is also clear; drug users’ family members said that 60 percent of consumers who were employed before drugs had afterwards lost their jobs. Furthermore, almost 50 percent of the family members interviewed said that they had been forced by drug consumers to borrow money as a result of drug and almost 70 percent said that they had confronted financial complications as a result of that drug use. It is suggested that peer groups and family behaviors affected the livelihood of substance abusers

Spatiotemporal Analysis of Land Use / Land Cover in Swat, Pakistan Using Supervised Classification in Remote Sensing: 2000 to 2015

Changes in land use and land cover affect the social, economic and natural aspects of any area. Mostly land use and land cover (LULC) changes are the result of population growth and human activities in the form of urban agglomerations and industrialization etc. Physical factors like soil structure and type, slope condition, topography are main aspects. Land use change defines the historical pattern that how people used that specific land which depends on the availability of resources and economic conditions. LULC changes may trigger the detrimental effects like increase in natural hazard events and changes in climatic patterns. Climatic pattern directly affects the precipitation, groundwater recharge, the amount of evapotranspiration and runoff generation. On regional and local scale, LULC change is a far-reaching issue because environment and climate condition depend on i

Deep feature engineering using full-text publications

We have observed a rapid proliferation in scientific literature and advancements in web technologies has shifted information dissemination to digital libraries [1]. In general, the research conducted by scientific community is articulated through scholarly publications pertaining high quality algorithms along other algorithmic specific metadata such as achieved results, deployed datasets and runtime complexity. According to estimation, approximately 900 algorithms are published in top core conferences during the years 2005-2009 [2]. With this significant increase in algorithms reported in these conferences, more efficient search systems with advance searching capabilities must be designed to search for an algorithm and its supported metadata such as evaluation results like precision, recall etc., particular dataset on which an algorithm executed or the time complexity achieved by that algorithm from full body text of an article. Such advanced search systems could support researchers and software engineers looking for cutting edge algorithmic solutions. Recently, state designed to search for an algorithm from full text articles [3-5]. In this work, we designed an advanced search engine for full text publications that leverages the deep learning techniques to classify algorithmic specific metadata and further to improve searching capabilities for a search system

Parsing AUC Result-Figures in Machine Learning Specific Scholarly Documents for Semantically-enriched Summarization

Machine learning specific scholarly full-text documents contain a number of result-figures expressing valuable data, including experimental results, evaluations, and cross-model comparisons. The scholarly search system often overlooks this vital information while indexing important terms using conventional text-based content extraction approaches. In this paper, we propose creating semantically enriched document summaries by extracting meaningful data from the results-figures specific to the evaluation metric of the area under the curve (AUC) and their associated captions from full-text documents. At first, classify the extracted figures and analyze them by parsing the figure text, legends, and data plots – using a convolutional neural network classification model with a pre-trained ResNet-50 on 1.2 million Images from ImageNet. Next, we extract information from the result figures specific to AUC by approximating the region under the function’s graph as a trapezoid and calculating its area, i.e., the trapezoidal rule. Using over 12,000 figures extracted from 1000 scholarly documents, we show that figure specialized summaries contain more enriched terms about figure semantics. Furthermore, we empirically show that the trapezoidal rule can calculate the area under the curve by dividing the curve into multiple intervals. Finally, we measure the quality of specialized summaries using ROUGE, Edit distance, and Jaccard Similarity metrics. Overall, we observed that figure specialized summaries are more comprehensive and semantically enriched. The applications of our research are enormous, including improved document searching, figure searching, and figure focused plagiarism. The data and code used in this paper can be accessed at the following URL: https://github.com/slab-itu/fig-ir/

Assessment of Human Health Risk of Zinc and Lead by Consuming Food Crops Supplied with Excessive Fertilizers

For the study of heavy metals impact on human beings, areas in Sargodha city that were supplied with various types of fertilizers were chosen. The three industrial areas; (Bhalwal, Sillanwali, and Sahiwal) of this city were explored for research reasons. The researchers wanted to know how much heavy metal was in the soil, food crops, and human. Excess fertilizer use contributes to global pollution. Farmyard manure, urea, and potassium chloride were used on Site 1; urea phosphate, manure, and ammonium sulphate were used on Site 2; and super phosphate, ammonium phosphate, and nitrate phosphate were used on Site 3. Samples of commonly used food crops, their respective soils and blood of residents who ingested the food crops of the studied area were collected. The zinc and lead levels in soil (8.30-16.80 and 1.80-12.71 mg/kg) and food crops (0.26-2.02 and 2.26-4.70 mg/kg) were far lower than WHO permitted limits. Blood mean concentration of both Zn (2.30-4.30 mg/L) and Ni (0.24-0.70 mg/L) were found maximum in residents of Site 3. The values of pollution load index, bioconcentration factor, enrichment factor for both zinc and lead were (0.18-0.37 and0.220-0.948), (0.027-0.138 and 0.316-1.705), (0.020-0.144 and 0.515-2.780), respectively. Daily intake of metal (0.004-0.008 and 0.001-0.002 mg/kg/day) and health risk index (0.0001-0.016 and 0.005-0.115) values were observed to be lower in individuals for Zn and Pb, respectively. In present work values of all pollution indices wereSo, there would be no human health hazard

Effects of Fertilizers on Copper and Nickel Accumulation and Human Health Risk Assessment of Vegetables and Food Crops

Despite the fact that fertilizers have been used for millennia for sustainable crop production, this high and considerable dependence on fertilizers heightens environmental concerns with the indirect human exposure due to accumulation of toxins in food chain via soil contamination. The purpose of this study is to evaluate the application of fertilizers to the soil and their effect on the accumulation of copper and nickel in spinach (Spinacia oleracea), garlic (Allium sativum), wheat (Triticum aestivum), maize (Zea mays), and barley (Hordeum vulgare); as well as potential health concerns associated with consuming vegetables cultivated on this contaminated land. Samples of available soil, food crops, and human blood were collected from three different Tehsils: Bhalwal, Sahiwal, and Silanwali and were regarded as site 1, site 2 and site 3 respectively. Urea, farmyard manure, and potassium chloride were delivered to Site 1; urea phosphate, manure, and ammonium sulphate were delivered to Site 2; and superphosphate, ammonium phosphate, and nitrate phosphate were delivered to Site 3. Data was subjected to statistical analysis for computing out ANOVA and correlation. Analysis revealed that minimum copper concentration was found in the soil of T. aestivum grown at Site-1 while the inhabitants of Site 3 had the highest concentration of Cu in their blood. The highest level of HIR was found in the human beings that ate the S. oleracea grown at Site 3. It is strongly advised that fertilizers be used sparingly, as their excessive use can cause human health risks

Anaphylactic shock as a rare side effect of intravenous amiodarone

Amiodarone is a very commonly used antiarrhythmic agent. However, it has a wide variety of systemic side effects as well as many hypersensitivity and allergic reactions, ranging from angioedema to anaphylactic shock in patients who have iodine allergies. We present a rare and unique case of an 86-year-old female who developed anaphylactic shock from intravenous (IV) amiodarone. She had no reported allergies to iodine or iodinated contrast. She had a history of chronic persistent atrial fibrillation and was being maintained on oral amiodarone as an outpatient. She was admitted with shortness of breath and was found to have atrial fibrillation with rapid ventricular response. She was started on an IV amiodarone bolus. Immediately after a few milliliters of infusion, she complained of shortness of breath, with facial flushing and generalized blanching erythema, followed by severe hypotension and cardiopulmonary arrest. IV amiodarone infusion was suspected to be the culprit and was discontinued immediately. IV epinephrine 0.3 mg was administered, followed by the advanced cardiovascular life support (ACLS) protocol for cardiopulmonary arrest. She did not respond to the standard ACLS protocol and continued to remain in cardiopulmonary arrest. A spot diagnosis of anaphylactic reaction to IV amiodarone was made, and she was started on IV epinephrine infusion 0.1 µg/kg/minute, and immediate return of spontaneous circulation was achieved. She was started on IV methylprednisolone 125 mg, IV famotidine 20 mg, and IV diphenhydramine 25 mg. She was intubated and required mechanical ventilation. She was successfully extubated later and safely discharged, receiving oral metoprolol 25 mg for rate control and PO rivaroxaban 20 mg once daily. Anaphylactic shock from IV amiodarone administration is a potentially fatal complication observed in patients with prior reported allergies to iodine or iodinated contrast media. It has rarely been reported in the absence of prior allergy to iodine or iodinated contrast media. Prompt recognition by clinicians is prudent for early diagnosis and appropriate treatment

Screening programs for common maternal mental health disorders among perinatal women: report of the systematic review of evidence

Postpartum depression and anxiety are highly prevalent worldwide. Fisher et al., estimated the prevalence of depression and anxiety at 15.6% during the antenatal and 19.8% during the postpartum period. Their impact on maternal and child health is well-recognized among the public health community, accounting for high societal costs. The public health impact of these conditions has highlighted the need to focus on the development and provision of effective prevention and treatment strategies. In recent decades, some advances have been made in the development of effective universal and targeted screening programmes for perinatal depression and anxiety disorders. Recent research has shown potential benefits of universal and targeted screening for perinatal depression, to identify and treat undiagnosed cases, and help thwart its deleterious consequences. Ethical implications, however, for these screening programmes, without the provision of treatment have often been emphasized. The present mixed-methods systematic review and meta-analysis was conducted to collate evidence for screening programmes for perinatal depression and anxiety. It aims to answer the following questions, in a global context: For women in the perinatal period, do screening programmes for perinatal depression and anxiety compared with no screening improve maternal mental health and infant outcomes? A series of meta-analyses reveal a reduction in perinatal depression and anxiety among perinatal women undergoing screening programmes. For the outcome of depressive disorder, meta-analysis indicates a positive impact in favour of the intervention group (OR = 0.55, 95% CI: 0.45 to 0.66, n = 9009), with moderate quality of evidence. A significant improvement (high quality) was also observed in symptoms of anxiety among perinatal women (SMD = − 0.18, 95% CI: − 0.25 to − 0.12, n = 3654). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-022-03694-9