ANALISIS BAHAYA, PENILAIAN RISIKO DAN PENGENDALIAN RISIKO K3 DENGAN HIRARC DI PT. ABC

Dalam sistem penerapan untuk keselamatan kerja di PT. ABC masih kurang adapun untuk kesadaran karyawan yang tidak memakai Alat Pelindung Diri (APD) sesuai Standard Operating Procedure (SOP), maupun teguran yang kurang tegas dari atasan maka dari itu perlu adanya identifikasi penerapan Kesehatan dan Keselamatan Kerja dan pengendalian resiko keselamatan kerja juga pada faktor lingkungan kerja yang memungkinkan akan terjadinya kecelakaan kerja. Berdasarkan penelitian menggunakan metode Hazard Identification Risk Asessment and Risk Control (HIRARC) didapatkan temuan bahaya sejumlah 12 kasus bahaya. Dengan pembagian kategori : untuk kategori (extreme) sebanyak 0 kasus atau tidak ada, untuk kategori tinggi (high) sebanyak 5 kasus, dan untuk kategori sedang (medium) sebanyak 6 kasus, sedangkan untuk kategori rendah (low) 1 kasus. Berdasarkan penelitian yang sudah dilakukan pada PT. ABC, didapatkan 5 temuan penyebab bahaya yang terkategori tinggi (high), berikut  5 temuan penyebab bahaya yang terkategori tinggi (high), diantaranya tidak terdapat pintu darurat dan rambu-rambu, terdapat lantai licin, atap pabrik bocor, dan tidak ada organisasi K3

Development of Wood and Pulp Chemicals in Wood Sub Materials and Fiber Morphology as Teaching Material Supplements

This development research aims to develop wood and pulp chemicals in wood and fiber morphology as supplementary teaching materials for students of the Chemical Education study program at Sriwijaya University using the 4STMD (Four Step Teaching Materials Development) method. The steps of the 4STMD method, namely the first stage is the selection stage, carried out by analyzing needs, curriculum and analyzing the material by looking for references in various sources. The second stage, namely the structuring stage, is carried out by adding or subtracting material and compiling the material. The third stage is the characterization stage, carried out by developing the results of material analysis. The fourth stage is the didactic reduction stage, but the researcher did not carry out the didactic reduction stage. Data collection techniques used in the form of interviews, pre-research questionnaires and validation questionnaires. In the material validation test, the validity of teaching materials was obtained based on the Aiken coefficient of 0.75 which was categorized as high. Based on these results, it shows that the development of wood and pulp chemicals in wood sub-materials and fiber morphology has met the valid criteria

Microbial ecology, biochemical and nutritional features in sprouted composite type I sourdough made of wheat and blend flours

Germination is a biotechnological process helpful in obtaining new plants from grains. We tested the impact of processing condition (sprouting and dough yield) and flour composition on type I sourdoughs biochemical and nutritional parameters we here used four flour matrices and precisely: i) refined commercial wheat flour, ii) sprouted and iii) non-sprouted whole wheat flour and iv) a blend composed of sprouted whole wheat and sprouted lentils. We here compared a set of 24 samples based on different group stratifications including three different sampling times (starting, after 24h and at the 10th refreshment). Moreover, we inspected the microbiota and its relative taxa abundance by 16S rRNA target sequencing and qPCR absolute quantification. Our result highlighted how the sprouted process together with the dough yield influenced key substrate like raffinose and lead to a change of taxa composition as evinced for the increased relative abundances of Pediococcus genus. Other key taxa in the microbiota were shaped by tested conditions and the alpha and beta diversity evidenced how matrix impact the intergroup clustering. The presented results shed new light on the increased properties and the related health promoting effects of type I sourdough obtained with the sprouting process

Gluten-Free Bread Enriched with Artichoke Leaf Extract In Vitro Exerted Antioxidant and Anti-Inflammatory Properties

Due to its high nutritional value and broad beneficial effects, the artichoke plant (Cynara cardunculus L.) is an excellent healthy food candidate. Additionally, the artichoke by-products are usually discarded even though they still contain a huge concentration of dietary fibers, phenolic acids, and other micronutrients. The present work aimed to characterize a laboratory-made gluten-free bread (B) using rice flour supplemented with a powdered extract from artichoke leaves (AEs). The AE, accounting for the 5% of titratable chlorogenic acid, was added to the experimental gluten-free bread. Accounting for different combinations, four different bread batches were prepared. To evaluate the differences, a gluten-free type-II sourdough (tII-SD) was added in two doughs (SB and SB-AE), while the related controls (YB and YB-AE) did not contain the tII-SD. Profiling the digested bread samples, SB showed the lowest glycemic index, while SB-AE showed the highest antioxidant properties. The digested samples were also fermented in fecal batches containing viable cells from fecal microbiota samples obtained from healthy donors. Based on plate counts, no clear tendencies emerged concerning the analyzed microbial patterns; by contrast, when profiling volatile organic compounds, significant differences were observed in SB-AE, exhibiting the highest scores of hydrocinnamic and cyclohexanecarboxylic acids. The fecal fermented supernatants were recovered and assayed for healthy properties on human keratinocyte cell lines against oxidative stress and for effectiveness in modulating the expression of proinflammatory cytokines in Caco-2 cells. While the first assay emphasized the contribution of AE to protect against stressor agents, the latter enlightened how the combination of SB with AE decreased the cellular TNF-α and IL1-β expression. In conclusion, this preliminary study suggests that the combination of AE with sourdough biotechnology could be a promising tool to increase the nutritional and healthy features of gluten-free bread

Effect of Seasonality on Microbiological Variability of Raw Cow Milk from Apulian Dairy Farms in Italy

Raw cow milk is one of the most complex and unpredictable food matrices shaped by the interaction between biotic and abiotic factors. Changes in dairy farming conditions impact the quality and safety of milk, which largely depend on seasonality. Changes in microbiome composition and relative metabolic pathways are derived from microbial interactions, as well as from seasonality, mammary, and extramammary conditions (e.g., farm management and outdoor environment). Breeding data from >600 Apulian farms were examined, and the associated physicochemical parameters were processed by a reductionist approach to obtain a raw cow milk sample subset. We investigated the microbiological variability in cultivable and 16S rRNA sequencing microbiota as affected by seasonal fluctuations at two time points (winter and summer seasons). We identified families (Xanthomonadaceae, Enterobacteriaceae, and Pseudomonadaceae) whose increased abundance during winter may cause a shift toward a pathobiont microbial niche that leads to lower milk quality. Apulian summer season conditions were advantageous to the presence of specific taxa, i.e., Streptococcaceae (i.e., Lactococcus) and Limosilactobacillus fermentum, which in turn may favor better milk preservation. IMPORTANCE The strength of this study lies in the microbiological characterization of a wide range of farm management data to achieve a more comprehensive framework of Apulian milk. Specific regional pedoclimatic and management conditions impact the taxa present and their abundances within this ecological food niche. The obtained results lay the groundwork for comparison with other worldwide extensive farming areas.The strength of this study lies in the microbiological characterization of a wide range of farm management data to achieve a more comprehensive framework of Apulian milk. Specific regional pedoclimatic and management conditions impact the taxa present and their abundances within this ecological food niche. The obtained results lay the groundwork for comparison with other worldwide extensive farming areas

Bio-Engineering tissue and V.A.C. therapy: A new method for the treatment of extensive necrotizing infection in the diabetic foot

AIM: The aim of the study is to compare the standard care for progressive necrotizing infection in diabetic foot with a treatment protocol based on the association between autologous fibroblast grafts and vacuum-assisted closure therapy (V.A.C.). MATERIAL OF STUDY: A retrospective matched Case-Control study was carried out on 20 patients with diabetic foot infection, 10 treated with the standard care and 10 with our new protocol. Inclusion criteria were: acute diabetic foot necrosis (Wagner III and IV), ulcer size (30 to 80 cm2), tendon and bone exposure. Success in the treatment was evaluated as: percentage of healing at the 20th week, time of healing, deambulation, recurrence and major amputation rate. RESULTS: A 90% healing rate was observed after 20 weeks in the study group, compared to a 28.6% in the control group. The recurrence rate in the treated areas was 20% in the study group and 100% in the control group. None of the patients in either group required major amputations. DISCUSSION: We achieved very promising results by associating autologous fibroblasts grafts and V.A.C. therapy, in comparison with standard care. V.A.C. therapy seems to improve the growth rate of the fibroblasts, probably by sealing the wound and providing a moist environment following the fibroblast graft. The improved neoangiogenesis of the neo-dermis could explain the reduced recurrence rate of the study group. CONCLUSIONS: Despite the low number of patients involved and the retrospective nature of the analysis, this study showed a reliable, safe and cost-effective method of treating extensive infection in the diabetic foot

A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results

The mortality associated to breast cancer is in many cases related to metastasization and recurrence. Personalized treatment strategies are critical for the outcomes improvement of BC patients and the Clinical Decision Support Systems can have an important role in medical practice. In this paper, we present the preliminary results of a prediction model of the Breast Cancer Recurrence (BCR) within five and ten years after diagnosis. The main breast cancer-related and treatment-related features of 256 patients referred to Istituto Tumori “Giovanni Paolo II” of Bari (Italy) were used to train machine learning algorithms at the-state-of-the-art. Firstly, we implemented several feature importance techniques and then we evaluated the prediction performances of BCR within 5 and 10 years after the first diagnosis by means different classifiers. By using a small number of features, the models reached highly performing results both with reference to the BCR within 5 years and within 10 years with an accuracy of 77.50% and 80.39% and a sensitivity of 92.31% and 95.83% respectively, in the hold-out sample test. Despite validation studies are needed on larger samples, our results are promising for the development of a reliable prognostic supporting tool for clinicians in the definition of personalized treatment plans

Relationship between risk and protective factors and clinical features of Parkinson's disease

BACKGROUND: Non-genetic risk factors play a relevant role in Parkinson's disease (PD) development but the relationship between these factors and PD clinical features is unknown. OBJECTIVE: The aim of the present multicenter study was to investigate possible relationship between risk factors and clinical motor and non-motor features in a large sample of PD patients. METHODS: Six hundred ninety-four patients with PD participated. Patients underwent a clinical evaluation assessing motor symptoms and motor complications as well as non-motor symptoms severity. Information regarding pharmacological treatment was also collected. Risk and protective factors were previously identified in the present population and included coffee consumption, cigarette smoking, and physical activity as protective factors and a family history of PD, dyspepsia, exposure to toxic agents and general anesthesia as risk factors. Multiple regression models were used to investigate the relationship between risk factors and clinical variables. RESULTS: Coffee consumption predicted older age at onset (B: 0.527; CI: 0.195; 0.858) and milder motor symptom severity (B: 1.383; CI: 2.646; -0.121). Non-motor symptom severity was more severe in patients with dyspepsia before PD (B: 13.601; CI 5.019; 22.182) and milder in patients who performed physical activity before PD (B: 11.355; CI: 16.443; -6.266). We found no relationship between risk factors and motor complications, motor subtype and pharmacological treatment. CONCLUSIONS: Risk and protective factors of PD development may influence PD clinical features. This finding may represent the first step in the development of new preventive approaches able to delay disease onset and mitigate the extent of clinical manifestations

Relationship between risk and protective factors and clinical features of Parkinson's disease

Background: Non-genetic risk factors play a relevant role in Parkinson's disease (PD) development but the relationship between these factors and PD clinical features is unknown. Objective: The aim of the present multicenter study was to investigate possible relationship between risk factors and clinical motor and non-motor features in a large sample of PD patients. Methods: Six hundred ninety-four patients with PD participated. Patients underwent a clinical evaluation assessing motor symptoms and motor complications as well as non-motor symptoms severity. Information regarding pharmacological treatment was also collected. Risk and protective factors were previously identified in the present population and included coffee consumption, cigarette smoking, and physical activity as protective factors and a family history of PD, dyspepsia, exposure to toxic agents and general anesthesia as risk factors. Multiple regression models were used to investigate the relationship between risk factors and clinical variables. Results: Coffee consumption predicted older age at onset (B: 0.527; CI: 0.195; 0.858) and milder motor symptom severity (B: 1.383; CI: 2.646; -0.121). Non-motor symptom severity was more severe in patients with dyspepsia before PD (B: 13.601; CI 5.019; 22.182) and milder in patients who performed physical activity before PD (B: 11.355; CI: 16.443; -6.266). We found no relationship between risk factors and motor complications, motor subtype and pharmacological treatment. Conclusions: Risk and protective factors of PD development may influence PD clinical features. This finding may represent the first step in the development of new preventive approaches able to delay disease onset and mitigate the extent of clinical manifestations