Miracle-dz/UniFAR-FTUs huggingface dataset:
RESIDUES OF CHLORPYRIPHOS AND MONOCROTOPHOS IN SOIL AND WATER OF OTTANCHATHARAM BLOCK, INDIA

The indiscriminate use of pesticides to meet the demand of growing population led to environmental contamination and consequently health risks. The study was undertaken to assess residue levels in vegetable growing area of Ottanchathiram block of Dindigul District. The study revealed that about 55 per cent the farmers applied 4 kg or less of technical grade pesticides per ha and the remaining 45 per cent used more than 4 kg of active ingredient (a.i)/ ha in chillies and About 87 per cent of cauliflower growers applied pesticides amounting to 4 kg or less of a.i/ha and the remaining applied more than this quantity. The villages, Thasaraipatti, Veeralapatti, Ambilikai, Arasappapillaipatti, Vadakadu, Kosavapatti, Krishnakoundanputhur and Virupachi are intensive vegetable growing areas selected for the pesticide residue analysis. The village Thasaraipatti soil sample recorded maximum amount of Chlorpyriphos residues (5.6 Î¼gkg-1) and Monocrotophos residues (4.5Î¼gkg-1). Residues in water samples ranged from not detectable to 0.5 Î¼gl-1 of Chlorpyriphos and Monocrophos
Photobiomodulation Therapy Combined with Static Magnetic Field Reduces Pain in Patients with Chronic Nonspecific Neck and/or Shoulder Pain: A Randomized, Triple-Blinded, Placebo-Controlled Trial

Photobiomodulation therapy (PBMT) has been used to treat patients with chronic neck and/or shoulder pain. However, it is unknown whether the concurrent use of PBMT and static magnetic field (PBMT-sMF) also has positive effects in these patients. The aim of this study was to investigate the effects of PBMT-sMF versus placebo on pain intensity, range of motion (ROM) and treatment satisfaction in patients with chronic nonspecific neck and/or shoulder pain. A randomized controlled trial, with blinded assessors, therapists and patients was carried out. Seventy-two patients with chronic nonspecific neck and/or shoulder pain were randomized to either active PBMT-sMF (n = 36) or placebo PBMT-sMF (n = 36). Patients were treated twice weekly, over 3 weeks. Primary outcome was pain intensity, measured 15 min after the last treatment session and at 24-, 48-, 72-h, and 7-days after the last treatment. Secondary outcomes were ROM, patient’ treatment satisfaction, and adverse effects. PBMT-sMF was able to reduce pain intensity in all time points tested compared to placebo (p < 0.05). There was no difference between groups in the secondary outcomes (p > 0.05). Our results suggest that PBMT-sMF is better than placebo to reduce pain in patients with chronic nonspecific neck and/or shoulder pain at short-term.
FROM GOOD TO GREAT IN FOOTBALL BUSINESS

This article is built on the theory of Jim Collins from his books “Good to Great” (Collins 2001), “Built to Last” (Collins & Porras 1994), How the mighty fall and why some companies never give in” (2009) and Collins and Hansen “Great by choice” (2011). These studies compared successful companies with companies in the same industry with the same opportunities and similar resources, but that hadn’t the same success. The first two aims of their studies were to identify the underlying characteristics and dynamics to highly visionary companies and to effectively communicate these findings to people who want to create and maintain visionary companies. (Collins&Porras 1994) The second question of their study was – Can a good company become a great company and, if so, how? I will in this article look into some of the greatest football clubs in the world who have gone from good to great but also can be categorized as a built to last clubs, and try to use them as examples. These clubs are Manchester United, FC Barcelona, Real Madrid CF, Arsenal FC and Liverpool FC. If you want to go from good to great and to sustain this achievement, the critical question to constantly consider is, “How can we do better tomorrow than we did today”? In short, the only way of doing this is by improving trough hard and sustained work
Association of Controlling Nutritional Status Score With Adverse Outcomes in Patients With Coronary Artery Disease: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis sought to examine the association between the controlling nutritional status (CONUT) score and adverse outcomes in patients with coronary artery disease (CAD). PubMed and Embase databases were searched for eligible studies from their inceptions to December 12, 2021 to identify studies investigating the association of the CONUT score with major adverse cardiovascular events (MACEs) and all-cause mortality in CAD patients. Twelve studies (36,198 CAD) patients satisfied the criteria. Comparison of the high with low CONUT score, the pooled multivariate adjusted risk ratios (RR) was 1.78 (95% confidence intervals [CI] 1.36-2.32) for MACEs and 1.45 (95% CI 1.27–1.66) for all-cause mortality, respectively. When compared with patients with normal nutrition, malnourished (defined by the CONUT score ≥2) patients conferred a 52% increased risk of MACEs. Additionally, per point CONUT score increment was associated with 15% and 11% higher risk of MACEs and all-cause mortality, respectively. Higher CONUT score independently predicts the MACEs all-cause mortality in CAD patients. Estimation of nutritional status using the CONUT score could be helpful for improving risk classification of CAD.
Novel dynamic wireless power transfer system using in‐tire and in‐wheel repeater coil for battery electric vehicles

In order to improve the mileage per charge of battery electric vehicles (BEV), dynamic wireless power transfer systems are being developed. There are some problems such as is the wide gap between coils when mounted under the floor of a vehicle, and the effect of foreign objects between coils on power transmission. In‐wheel coils, in which the coils are placed inside the wheel, have been proposed as a solution to these problems. However, they a plastic wheel such as CFRP and cannot reduce the gap between coils. In this paper, we propose a coil configuration in which the coils are placed inside the tire and the wheel. This configuration has the advantage of using a conventional aluminum to reduce the gap between coils. The effectiveness of this method is demonstrated via simulations and experiments.
Situated inter-organizational communication: Identifying the conditions for collaborative progress through a community of practice

5 The Purpose . 6 Methodology . 10 Situational Analysis. 12 The Situation: Underbalanced and Managed Pressure Drilling IRP . 12 Situational Maps . 18 Situational Relationships . 22 Collaborative Writing . 23 Communities of Practice . 26 Document Analysis . 31 Data Fracture . 32 Collaborative Writing Activities . 33 Community of Practice Elements . 35 Introspection . 36 Discussion . 37 Data Fracture Analysis . 37 Collaborative Writing Activities . 38 Communities of Practice . 38 Combined Analysis. 39 Conclusion . 41 Future Research . 44 Appendix A: Data Incident Example . 45 Appendix B: Data Fracture Analysis . 48 Appendix C: Collaborative Writing Activities . 49 Appendix D: Communities of Practice Elements . 50 References . 51 Situated Inter-organizational Communication 5
Bayesian network intrusion detection technology based on principal component analysis and sliding window

In the traditional Bayesian network intrusion detection technology,it is not taken into account that the intrusion detection data set has an excessive number of attributes,which leads to an excessive calculation in the process of Bayesian network structure,and greatly affect the detection efficiency.In addition,the traditional Bayesian network intrusion detection technology does not consider the current attacks and security status in the detection process,and fixed Bayesian network generated by the original training data set is used to test the new data set,which has a certain impact on detection accuracy.To solve the abovementioned two problems,a new Bayesian network intrusion detection technology based on principal component analysis and the sliding window is given.Principal component analysis method is adopted to reduce data dimensionality,and a sliding window mechanism and the detected test data are used to update the training data set,which can reflect the current security status of the system.The experiments show that improved technology can greatly reduce the data dimension,and improve the detection accuracy.
Research on Soft-Sensing Methods for Measuring Diene Yields Using Deep Belief Networks

As an important raw material for the chemical industry, ethylene is one of the surest indicators that measure the development level of a country. The diene yield is an important production quality index parameter of ethylene units, and it is very important to detect and control them in real time. Due to the limitations of online analytical instrumentation technology, diene yields are difficult to measure online. Motivated by this, this article has studied soft-sensing technology for measuring diene yields. A diene yield prediction method based on a deep belief network algorithm network is proposed, and the regularity of historical diene yield data is fully explored by the method. First, the data feature vectors are fused and normalized. Then, the data are fed into a DBN consisting of two layers of restricted Boltzmann machines for unsupervised training, and finally, a DBN model is used to predict the diene yield. The experimental results show that the mean squared error of the test set with historical data is 1.15%, and the mean absolute percentage error of the measured data is 2.79%. The experimental results are provided to show the effectiveness of the proposed method.
Extracellular Alpha-Synuclein: Mechanisms for Glial Cell Internalization and Activation

Alpha-synuclein (α-syn) is a small protein composed of 140 amino acids and belongs to the group of intrinsically disordered proteins. It is a soluble protein that is highly expressed in neurons and expressed at low levels in glial cells. The monomeric protein aggregation process induces the formation of oligomeric intermediates and proceeds towards fibrillar species. These α-syn conformational species have been detected in the extracellular space and mediate consequences on surrounding neurons and glial cells. In particular, higher-ordered α-syn aggregates are involved in microglial and oligodendrocyte activation, as well as in the induction of astrogliosis. These phenomena lead to mitochondrial dysfunction, reactive oxygen and nitrogen species formation, and the induction of an inflammatory response, associated with neuronal cell death. Several receptors participate in cell activation and/or in the uptake of α-syn, which can vary depending on the α-syn aggregated state and cell types. The receptors involved in this process are of outstanding relevance because they may constitute potential therapeutic targets for the treatment of PD and related synucleinopathies. This review article focuses on the mechanism associated with extracellular α-syn uptake in glial cells and the consequent glial cell activation that contributes to the neuronal death associated with synucleinopathies.
Does Preoperative Waiting Time Affect the Short-Term Outcomes and Prognosis of Colorectal Cancer Patients? A Retrospective Study from the West of China

Purpose The purpose of this study is to analyze the effect of preoperative waiting time on the short-term outcomes and prognosis in colorectal cancer (CRC) patients. Methods We retrospectively analyzed 3744 CRC patients who underwent primary CRC surgery at a single clinical medical center from Jan 2011 to Jan 2020. The baseline information, short-term outcomes, overall survival (OS), and disease-free survival (DFS) were compared among the short-waiting group, the intermediate-waiting group, and the long-waiting group. Results A total of 3744 eligible CRC patients were enrolled for analysis. There were no significant differences in all of the baseline information and short-term outcomes among the three groups. In multivariate analysis, older age (OS: p=0.000, HR = 1.947, 95% CI = 1.631–2.324; DFS: p=0.000, HR = 1.693, 95% CI = 1.445–1.983), advanced clinical stage (OS: p=0.000, HR = 1.301, 95% CI = 1.161–1.457; DFS: p=0.000, HR = 1.262, 95% CI = 1.139–1.400), overall complications (OS: p=0.000, HR = 1.613, 95% CI = 1.303–1.895; DFS: p=0.000, HR = 1.560, 95% CI = 1.312–1.855), and major complications (OS: p=0.001, HR = 1.812, 95% CI = 1.338–2.945; DFS: p=0.006, HR = 1.647, 95% CI = 1.153–2.352) were independent factors of OS and DFS. In addition, no significant difference was found in all stages (OS, p=0.203; DFS, p=0.108), stage I (OS, p=0.419; DFS, p=0.579), stage II (OS, p=0.465; DFS, p=0.385), or stage III (OS, p=0.539; DFS, p=0.259) in terms of OS and DFS among the three groups. Conclusion Preoperative waiting time did not affect the short-term outcomes or prognosis in CRC patients.
Stress-Induced Depression and Alzheimer’s Disease: Focus on Astrocytes

Neurodegenerative diseases and depression are multifactorial disorders with a complex and poorly understood physiopathology. Astrocytes play a key role in the functioning of neurons in norm and pathology. Stress is an important factor for the development of brain disorders. Here, we review data on the effects of stress on astrocyte function and evidence of the involvement of astrocyte dysfunction in depression and Alzheimer’s disease (AD). Stressful life events are an important risk factor for depression; meanwhile, depression is an important risk factor for AD. Clinical data indicate atrophic changes in the same areas of the brain, the hippocampus and prefrontal cortex (PFC), in both pathologies. These brain regions play a key role in regulating the stress response and are most vulnerable to the action of glucocorticoids. PFC astrocytes are critically involved in the development of depression. Stress alters astrocyte function and can result in pyroptotic death of not only neurons, but also astrocytes. BDNF-TrkB system not only plays a key role in depression and in normalizing the stress response, but also appears to be an important factor in the functioning of astrocytes. Astrocytes, being a target for stress and glucocorticoids, are a promising target for the treatment of stress-dependent depression and AD.
Generalized Wiener–Hermite integrals and rough non-Gaussian Ornstein–Uhlenbeck process

We discuss several properties of the generalized Hermite process, which is a non-Gaussian self-similar processes with self-similarity index belonging to the whole interval . We also define Wiener integral with respect to this process and as an application, we define and study its associated Ornstein–Uhlenbeck process.
Inhaled Sedation for Invasively Ventilated COVID-19 Patients: A Systematic Review

Background: Volatile anesthetics were used as sedative agents in COVID-19 (Coronavirus Disease 2019) invasively ventilated patients for their potentially beneficial pharmacological effects and due to the temporary shortages of intravenous agents during the pandemic crisis. Methods: Online databases (PubMed, EMBASE, The Cochrane Central Register of Controlled Trial) and the “clinicaltrials.gov” website were searched for studies reporting the use of isoflurane, sevoflurane or desflurane. Results: We identified three manuscripts describing the beneficial effects of isoflurane on 41 COVID-19 patients with acute respiratory distress syndrome (ARDS) in Germany (n = 2) and in the USA (n = 1), in terms of reduction in the use of opioids and other sedatives. We also found a case report of two patients with transient nephrogenic diabetes insipidus, which started after 6 and 8 days of sevoflurane sedation. We identified two randomized controlled trials (RCTs; 92 patients overall), two observational studies (238 patients) on the use of volatile anesthetics in COVID-19 patients that were completed but not yet published, and one RCT interrupted for a low recruitment ratio (19 patients) and thus not published. We also identified five ongoing RCTs on the use of inhaled sedation in ARDS, which are also likely to be recruiting COVID-19 patients and which have currently enrolled a total of >1643 patients. Conclusion: Isoflurane was the most frequently used volatile agent in COVID-19 patients and allowed a reduction in the use of other sedative and analgesic drugs. Randomized evidence is building up and will be useful to confirm or challenge these findings.
Benchmark solutions for the free vibration of layered piezoelectric plates based on a variational formulation

This article focuses on the implementation of the sampling surfaces method for the three-dimensional vibration analysis of layered piezoelectric plates. The sampling surfaces method is based on choosing inside the layers not equally spaced sampling surfaces parallel to the middle surface in order to introduce the displacements and electric potentials of these surfaces as basic plate variables. Such choice of unknowns with the consequent use of Lagrange polynomials in the assumed distributions of displacements, strains, electric potential, and electric field vector through the thicknesses of layers leads to the robust piezoelectric plate formulation. The sampling surfaces are located inside each layer at Chebyshev polynomial nodes that makes it possible to minimize uniformly the error due to the Lagrange interpolation. Therefore, the sampling surfaces formulation can be applied efficiently to the obtaining of benchmark solutions for the free vibration of layered piezoelectric plates, which asymptotically approach the three-dimensional solutions of piezoelectricity as the number of sampling surfaces tends to infinity.
Immunoexpression of CXCL12 and CXCR4 in sporadic and Gorlin-Goltz syndrome-related odontogenic keratocysts

Background Differences in the pathogenesis and biological behavior of sporadic and Gorlin-Goltz syndrome-related odontogenic keratocysts (OKCs) have been reported, but the underlying mechanisms are not fully elucidated. Chemokine CXCL12 and its main receptor CXCR4 regulate important events in the pathogenesis of several lesions. Material and Methods This study evaluated the immunoexpression of CXCL12 and CXCR4 in sporadic and syndromic OKCs. Twenty-two sporadic OKCs and 22 syndromic OKCs were subjected to immunohistochemistry. The percentages of cytoplasmic (CXCL12 and CXCR4) and nuclear (CXCR4) staining in epithelial and fibrous capsule cells were determined. The results were analyzed statistically using the nonparametric Mann-Whitney test and Spearman correlation test (p<0.05). Results Higher cytoplasmic expression of CXCL12 was observed in the epithelial lining and fibrous capsule of sporadic OKCs compared to syndromic OKCs (p<0.001). No statistically significant differences in the cytoplasmic expression of CXCR4 were observed between syndromic OKCs and sporadic OKCs (p>0.05). Compared to syndromic OKCs, sporadic OKCs exhibited higher nuclear expression of CXCR4 in the epithelial lining and lower immunoexpression in the fibrous capsule (p<0.05). In the epithelial lining of syndromic OKCs, positive correlation was observed between cytoplasmic and nuclear expressions of CXCR4 (p=0.003). In the fibrous capsule of syndromic OKCs and sporadic OKCs, cytoplasmic and nuclear expressions of CXCR4 were positively correlated (p<0.001). Conclusions The results suggest a potential participation of CXCL12 and CXCR4 in the development of OKCs. The heterogeneous expression of these proteins in syndromic and sporadic OKCs may reflect differences in their pathogenesis and biological behavior. Key words:Odontogenic keratocyst, CXCL12, CXCR4, Immunohistochemistry.
Recognition of Chinese Legal Elements Based on Transfer Learning and Semantic Relevance

In recent years, LegalAI has rapidly attracted the attention of AI researchers and legal professionals alike. Elements of LegalAI are known as legal elements. These elements can bring intermediate supervisory information to the judicial trial task and make the model’s prediction results more interpretable. This paper proposes a Chinese legal element identification method based on BERT’s contextual relationship capture mechanism to identify the elements by measuring the similarity between legal elements and case descriptions. On the China Law Research Cup 2019 Judicial Artificial Intelligence Challenge (CAIL-2019) dataset, the final result improves 4.2 points over the method based on the BERT model but without using similarity metrics. This research method makes full use of the semantic information of text, which is essential in the judicial field of document processing.
Facteurs de risques associés aux décès des personnes vivant avec le VIH sur les sites de prise en charge antirétrovirale de Bamako, Mali

Introduction : La chronicité de l’infection par Le Virus de l’Immunodéficience Humaine (VIH), la prise des traitements antirétroviraux au long cours, les maladies cancéreuses et la présence des coïnfections ont conduit à une diversification de la morbidité et des causes de décès chez les personnes infectées par le VIH. L’objectif était d’étudier les facteurs de risque associés au décès des personnes vivant avec le VIH (PVVIH) à Bamako au Mali. Méthode et Matériels : Il s’agit d’une étude de cohorte. La période de suivi des patients était de douze ans (2006 à 2017). Les données ont été collectées de façon rétrospective à travers l’outil national de suivi des PVVIH appelé Evaluation et Suivi des Operations du Projet Esther « ESOPE. L’échantillon était de 48426 PVVIH. Les analyses statistiques ont été réalisée par le logiciel STATA version 14. Résultat : Les patients vivant avec le VIH1 (n=44623, 96,38%) étaient majoritairement représentés dans notre étude. En analyse uni-variée, les participants ayant été initié aux ARV et suivis dans les sites de notre étude étaient de n=33887 (70%). Les PVVIH âgées de plus de 44 ans ont un risque de décéder de 31% plus élevés que celles de la classe d’âge de 15- 44ans (HR=1,31, p=0,00). Les patients mono infectés au VIH avaient un risque plus faible 34% statiquement significatif (HR=0,64 ; p= 0,001) de décéder que ceux des patients coinfectés TB/VIH. Conclusion : Les facteurs de risques associés au décès des PVVIH étaient le sexe féminin, l’âge élevé, la mise sous traitement ARV pendant une longue période, la coïnfection Tuberculose/VIH, la malnutrition et la quantité de charge virale à l’initiation du traitement ARV.
Short-Term Demand Forecasting Method in Power Markets Based on the KSVM–TCN–GBRT

With the consumption of new energy and the variability of user activity, accurate and fast demand forecasting plays a crucial role in modern power markets. This paper considers the correlation between temperature, wind speed, and real-time electricity demand and proposes a novel method for forecasting short-term demand in the power market. Kernel Support Vector Machine is first used to classify real-time demand in combination with temperature and wind speed, and then the temporal convolutional network (TCN) is used to extract the temporal relationships and implied information of day-ahead demand. Finally, the Gradient Boosting Regression Tree is used to forecast daily and weekly real-time demand based on electrical, meteorological, and data characteristics. The validity of the method was verified using a dataset from the ISO-NE (New England Electricity Market). Comparative experiments with existing methods showed that the method could provide more accurate demand forecasting results.