Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology of dengue and the effect of seasonal climate variation on its dynamics: a spatio-temporal descriptive analysis in the Chao-Shan area on China’s southeastern coast

Objective Dengue is a mosquito-transmitted virus infection that remains rampant across the tropical and subtropical areas worldwide. However, the spatial and temporal dynamics of dengue transmission are poorly understood in Chao-Shan area, one of the most densely populated regions on China’s southeastern coast, limiting disease control efforts. We aimed to characterise the epidemiology of dengue and assessed the effect of seasonal climate variation on its dynamics in the area. Design A spatio-temporal descriptive analysis was performed in three cities including Shantou, Chaozhou and Jieyang in Chao-Shan area during the period of 2014–2017. Setting Data of dengue cases of three cities including Shantou, Chaozhou and Jieyang in Chao-Shan area during 2014–2017 were extracted. Data for climatic variables including mean temperature, relative humidity and rainfall were also compiled. Methodology The epidemiology and dynamics of dengue were initially depicted, and then the temporal dynamics related to climatic drivers was assessed by a wavelet analysis method. Furthermore, a generalised additive model for location, scale and shape model was performed to study the relationship between seasonal dynamics of dengue and climatic drivers. Results Among the cities, the number of notified dengue cases in Chaozhou was greatest, accounting for 78.3%. The median age for the notified cases was 43 years (IQR: 27.0–58.0 years). Two main regions located in Xixin and Chengxi streets of Chaozhou with a high risk of infection were observed, indicating that there was substantial spatial heterogeneity in intensity. We found an annual peak incidence occurred in autumn across the region, most markedly in 2015. This study reveals that periods of elevated temperatures can drive the occurrence of dengue epidemics across the region, and the risk of transmission is highest when the temperature is between 25°C and 28°C. Conclusion Our study contributes to a better understanding of dengue dynamics in Chao-Shan area.
Acute Lymphoblastic Leukemia in Routine Practice: A Turkish Multicenter Study

Objective: Significant developments occurred in the clinical management of acute lymphoblastic leukemia (ALL) in adults in recent decades. However, treatment results are still not satisfactory, especially in routine practice. The objective of this study was to evaluate the general clinical features, treatment details, and outcomes of a large group of patients followed in multiple centers in Turkey with a diagnosis of ALL. Materials and Methods: A retrospective analysis of the data of patients with ALL was made, the patients having been diagnosed and treated between January 2003 and June 2017 by different protocols in the hematology clinics of ten different centers. A total of 288 patients, aged between 17 and 76 years old, were included in the study. In this retrospective multicenter analysis of patients with ALL, classification of patients was performed based on treatment period, Philadelphia chromosome positivity, treatment regimen, and administration of allogeneic hematopoietic stem cell transplantation (allo-HSCT). Results: The majority of cases were B-cell in origin, while 224 patients had B-ALL and 64 of the patients had T-ALL. Median follow-up duration for all patients was 18.2 months (range: 0.03-161 months). Philadelphia chromosome positivity was determined in 49 patients (21.9%), and 54 patients (18.8%) were receiving allo-HSCT. After induction chemotherapy, 219 patients (76.0%) achieved complete remission, 32 patients (11.2%) were evaluated as treatment refractory, and 37 patients (12.8%) were deceased. Median overall survival was 47.7 months (95% confidence interval: 36.1-59.2) and median disease-free survival was 23.4 months (95% confidence interval: 6.7-40.0) for all patients. Conclusion: Multicenter studies are extremely important for defining the specific clinical features of a particular disease. The results of this study will make a significant contribution to the literature as they reflect real-life data providing valuable information about the Turkish ALL patient profile.
A Prospective Study on Self-Reported Psychopathy and Criminal Recidivism Among Incarcerated Male Juvenile Offenders

The present study examines the utility of three self-report measures of psychopathic traits in predicting recidivism among a sample of incarcerated male juvenile offenders. Participants (N = 214, M = 16.40 years, SD = 1.29 years) from seven Portuguese juvenile detention centers were followed and prospectively classified as recidivists versus non-recidivists. Area under the curve (AUC) analysis revealed that the Antisocial Process Screening Device–Self-Report (APSD-SR) presented the best performance in terms of predicting general recidivism, with the Youth Psychopathic Traits Inventory (YPI) and the Childhood and Adolescent Taxon Scale–Self-Report (CATS-SR) presenting much poorer results. However, logistic regression models controlling for past frequency of crimes and age of first incarceration found that none of these self-report measures significantly predicted 1- or 3-year recidivism, whether general or violent. Findings suggest there are limitations in terms of the incremental utility of self-report measures of psychopathic traits in predicting recidivism among juveniles.
Classification accuracy rates of four TOMM validity indices when examined independently and jointly

Abstract Objective: This study investigated sensitivity and specificity rates of four Test of Memory Malingering (TOMM) indices (Trial 1, Trial 2, Retention, and Albany Consistency Index (ACI)) and examined how classification accuracy rates change when utilizing these indices in various combinations. Method: A sample of 202 neuropsychological outpatients was utilized. Patients were categorized as valid performers if they passed all criterion performance validity tests (PVTs) and were determined to be invalid performers if they failed two or more criterion PVTs. Classification accuracy statistics were obtained for individual TOMM indices as well as combinations of TOMM indices. Results: When using only Trial 1 as a validity indicator, the TOMM identified 57% of invalidly performing individuals. When all TOMM indices were examined, the ACI demonstrated the highest sensitivity value (63%) but it also demonstrated the lowest specificity value (91%). Allowing for failure of any of the four TOMM indices provided the best overall sensitivity value (67%) while maintaining adequate specificity (90%). Finally, it was determined that failure of three or more TOMM validity indices resulted in a specificity rate of 97% and failure of four of more TOMM validity indices resulted in a specificity rate of 98%. Conclusions: Classification accuracy of TOMM validity indices are discussed in relation to positive and negative predictive values. Results suggest that clinicians can examine all four TOMM validity indices concurrently, particularly in settings where high base rates of invalidity occur.
A joint economic lot size model with price and environmentally sensitive demand

This paper presents a joint economic lot size (JELS) model for coordinated inventory replenishment decisions considering price and environmentally sensitive demand. It assumes a single product that flows along a two-level supply chain (vendor–buyer). The buyer’s demand is linear and sensitive to the product’s price and its environmental performance. A capital investment is considered necessary to improve the production process resulting in an indirect improvement of the product’s environmental quality. A mathematical model is developed to represent this situation and solved to maximize the total profit of the supply chain for: (1) the vendor’s production lot size quantity and the number of shipments to the buyer, and (2) the selling price and the amount invested to improve the production process. Numerical examples are provided with their results discussed.
Investigation of ORR Performances on Graphene/Phthalocyanine Nanocomposite in Neutral Medium

Abstract The drive to replace scarce and expensive Pt-based electrocatalysts for oxygen reduction reaction (ORR) has led to the development of a group of electrocatalysts composed of transition-metal ion centers coordinated with four nitrogen groups (M-N4). Among these, metal phthalocyanines (MPcs), due to low cost of preparation, highly conjugated structure as well as high thermal and chemical stability, have received a great interest. The catalytic activity of MPcs can be improved by employing conducting supports. Here, in this report, we have solvothermally synthesized graphene-supported zinc phthalocyanine nanostructures, and their ORR kinetics and mechanism have been investigated in neutral solution (pH = 7) by using the rotating disk electrode technique. The as-synthesized nanocomposite followed a 4e− reduction pathway. The onset potential (−0.04 V versus Ag/AgCl) found in this work can be comparable with other state-of-the-art material, demonstrating good performance in neutral solution. The fascinating performance leads the nanocomposite material toward future energy applications.
Effects of game-based and standard executive control training on cognitive and academic abilities in elementary school children.

Several studies indicate that executive functions (EF), such as working memory (WM), inhibition or flexibility can be improved by training and that these training-related benefits in WM capacity generalize to reading and mathematical abilities. However, the results of these studies are inconsistent and most of them focused on WM training in children with learning difficulties. Evidence for typically developing children is rare and no study has investigated inhibition training or flexibility training. There is also a lack of studies taking motivational factors into account. Therefore, this study compared the effects of game-based and standard training regimens targeting WM, inhibition, or flexibility in children. One hundred and fifty-three typically developing elementary school students (mean age = 9.6 years, standard deviations = 0.8) were investigated in an intervention design with a pretest, 21 sessions of training, a posttest and a follow-up after three months. They were randomized into one of six training groups or a control group. We found training gains in all training groups and higher self-reported motivation in the game-based as compared to the standard training groups. Furthermore, there was domain-specific transfer to untrained EF tasks across all training groups. We found greater performance improvements in reading ability (but not mathematics) in the game-based flexibility training group and the game-based inhibition training group as compared to the control group. Transfer effects were still significant at follow-up. In sum, our findings provide first evidence for a systematic comparison of training on different domains of EF and their differential effects on academic abilities.
Genetic and epigenetic-sensitive regulatory network in immune response: a putative link between HLA-G and diabetes

ABSTRACT Introduction: Human leukocyte antigen-G (HLA-G) gene encodes for a tolerogenic molecule constitutively expressed in human pancreas and upregulated upon inflammatory signals. The 14 bp INS/DEL polymorphism in the 3ʹUTR of HLA-G may influence the susceptibility for diabetes and coronary heart diseases (CHD), thus suggesting a novel candidate gene. DNA hypomethylation at HLA-G promoter may be a putative useful clinical biomarker for CHD onset. Upregulation of soluble HLA-G isoform (sHLA-G) was detected in prediabetic and diabetic subjects, suggesting a putative role in metabolic dysfunctions. Areas covered: We conducted a scoping literature review of genetic and epigenetic-sensitive mechanisms regulating HLA-G in diabetes. English-language manuscripts published between 1997 and 2019, were identified through PubMed, Google Scholar, and Web of Science database searches. After selecting 14 original articles representing case-control studies, we summarized and critically evaluated their main findings. Expert commentary: Although epigenetic modifications are involved in the onset of hyperglycemic conditions evolving into diabetes and CHD, it is still difficult to obtain simple and useful clinical biomarkers. Inflammatory-induced KDM6A/INF-β/HLA-G axis might be a part of the epigenetic network leading to overexpression of HLA-G at pancreatic level. Network medicine may show whether HLA-G is involved in diabetes and CHD.
Halogen bonding in halocarbon-protein complexes and computational tools for rational drug design

ABSTRACT Introduction: Halogens have a prominent role in drug design. Often used as a mean to improve ADME properties, they are also becoming a tool in protein–ligand recognition given their ability to form a non-covalent interaction, termed halogen bond, where halogens act as electrophilic species interacting with electron-rich partners. Rational drug design of halogen-bonding lead molecules requires an accurate description of halocarbon-protein complexes by computational tools though not all methods are able to tackle this non-covalent interaction. Areas covered: The authors present a review of computational methodologies that can be used to properly describe halogen bonds in the context of protein–ligand complexes, providing also insights on how these methods can be used in the context of computer-aided drug design. Expert opinion: Although in the last few years many computational tools, ranging from fast screening methods to the more expensive QM calculations, have been developed to tackle the halogen bonding phenomenon, they are not yet standard in the literature. This will eventually change as official software distributions are including support for halogen bonding in their methods. Tackling desolvation of halogenated species seems to be a good strategy to improve the accuracy of computational methods, that will be more commonly used prior to laboratory work in the future.
Review: Sex-Based Differences in Treatment Outcomes for Persons With Opioid Use Disorder.

BACKGROUND AND OBJECTIVES In order to address the current opioid crisis, research on treatment outcomes for persons with opioid use disorder (OUD) should account for biological factors that could influence individual treatment response. Women and men might have clinically meaningful differences in their experience in OUD treatment and might also have unique challenges in achieving successful, long-term recovery. This review summarizes and synthesizes the current literature on sex-based differences in OUD treatment outcomes. METHODS Relevant literature was identified via automated and manual searches using the terms "opioid treatment outcome sex [or gender] differences" and "opiate treatment outcome sex [or gender] differences. " Search methodology was consistent with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), and were conducted within the PubMed electronic database during March and April of 2018. RESULTS The initial PubMed search yielded 241 manuscripts and 31 original research articles that met inclusion/exclusion criteria were synthesized in this review. Several important trends emerged, including findings that women are more likely than men to present to treatment with co-occurring mental health conditions such as depression, and that women might respond particularly well to buprenorphine maintenance. DISCUSSION AND CONCLUSIONS While much of the literature on this topic is subject to potential cohort effects, interventions that address co-occurring mental health conditions and psychosocial stress might improve treatment outcomes for women with OUD. SCIENTIFIC SIGNIFICANCE Funding agencies and researchers should focus attention toward human laboratory studies and clinical trials that are prospectively designed to assess sex-based differences in OUD recovery. (Am J Addict 2019;28:246-261).
MindSpot Clinic: An Accessible, Efficient, and Effective Online Treatment Service for Anxiety and Depression.

OBJECTIVE The main objective of this study was to report the feasibility of delivering online cognitive-behavioral therapy (iCBT) treatments for anxiety and depression in a national public mental health service. METHODS A prospective noncontrolled cohort study was conducted of all patients who began assessment or treatment at the MindSpot Clinic from January through December 2013. Clinic services were used by a representative cross-section of the Australian population. Mean age at assessment was 36.4±13.0 years, and age range was 18-86 years. Patients completed one of four online courses over eight weeks, during which they received weekly support from a therapist via telephone or secure e-mail. Primary outcome measures were the nine-item Patient Health Questionnaire (PHQ-9) and the seven-item Generalized Anxiety Disorder scale (GAD-7) administered at posttreatment and three months posttreatment. RESULTS A total of 10,293 adults who self-identified as having problems with anxiety or depression commenced assessment, and 7,172 completed the assessment and were eligible for analysis. Of these, 2,049 enrolled in a course and 1,471 completed the course, for a course completion rate of 71.8%. Moderate to large noncontrolled effect sizes (Cohen's d=.67-1.66, 95% confidence interval=.08-2.07) were found from assessment to three-month follow-up. At posttreatment and follow-up, reliable recovery ranged from 46.7% to 51.1%, and deterioration ranged from 1.9% to 3.8%. Mean total therapist time per patient was 111.8±61.6 minutes. CONCLUSIONS The MindSpot Clinic produced treatment outcomes that were comparable to results from published clinical trials of iCBT. This model of service delivery represents an innovative method of providing accessible, low-cost, effective, and acceptable mental health services to many people who currently are not receiving care.
Lathyrus diversity: available resources with relevance to crop improvement--L. sativus and L. cicera as case studies.

BACKGROUND The Lathyrus genus includes 160 species, some of which have economic importance as food, fodder and ornamental crops (mainly L. sativus, L. cicera and L. odoratus, respectively) and are cultivated in >1·5 Mha worldwide. However, in spite of their well-recognized robustness and potential as a source of calories and protein for populations in drought-prone and marginal areas, cultivation is in decline and there is a high risk of genetic erosion. SCOPE In this review, current and past taxonomic treatments of the Lathyrus genus are assessed and its current status is examined together with future prospects for germplasm conservation, characterization and utilization. A particular emphasis is placed on the importance of diversity analysis for breeding of L. sativus and L. cicera. CONCLUSIONS Efforts for improvement of L. sativus and L. cicera should concentrate on the development of publicly available joint core collections, and on high-resolution genotyping. This will be critical for permitting decentralized phenotyping. Such a co-ordinated international effort should result in more efficient and faster breeding approaches, which are particularly needed for these neglected, underutilized Lathyrus species.
Effects of Spirulina algae as a feed supplement on nutritional value and flavour components of silkie hens eggs.

OBJECTIVE Silkie chicken (Gallus gallus domesticus brisson) is also named Chinese Taihe chicken, characterized by blue comb, green earlobes, black skin, meat and bones. This study aimed to evaluate the effects of spirulina feeding on the nutritive value and flavour of silkie hens eggs. METHODS A total of 280 Silkie hens of 42 weeks old were fed 4 different diets, including basal diet and basal diet containing 0.1%, 0.3% and 0.5% spirulina. Each diet group was divided into 70 Silkie hens experimentally. The production performance of silkie hens, the nutritional compositions [e.g., amino acids (AAs) and fatty acids] and flavour substances of silkie hens eggs were compared with control. RESULTS A 0.3% and 0.5% spirulina feeding significantly increased the average egg production rate and average egg weight, while only 0.3% spirulina feeding decreased both the average daily feed intake and feed conversion ratio of silkie hens compared with the controls (p < 0.05). The contents of crude protein, fat, cholesterol and Ca in silkie hens eggs were significantly increased by 0.3% spirulina feeding (p < 0.05). Only fat and cholesterol were significantly increased by 0.5% spirulina but had no significant difference compared with 0.3% spirulina. The flavour, amino acids/total AAs, and saturated fatty acids/unsaturated fatty acids in silkie hens eggs were significantly increased by 0.3% spirulina feeding than other groups (p < 0.05). A total of 46 volatile substances were identified in silkie hens eggs, and the substances of total acids, alkanes and aldehydes were significantly increased by 0.3% spirulina feeding. CONCLUSION Spirulina feeding at a proportion of 0.3% improved the production performance of silkie hens, and nutritive value and flavour of silkie hens eggs.
Transcriptome Profile Analysis Reveals that CsTCP14 Induces Susceptibility to Foliage Diseases in Cucumber

Foliage diseases are prevalent in cucumber production and cause serious yield reduction across the world. Identifying resistance or susceptible genes under foliage-disease stress is essential for breeding resistant varieties, of which leaf-specific expressed susceptible genes are extremely important but rarely studied in crops. This study performed an in-depth mining of public transcriptome data both in different cucumber tissues and under downy mildew (DM) inoculation, and found that the expression of leaf-specific expressed transcription factor CsTCP14 was significantly increased after treatment with DM, as well as being upregulated under stress from another foliage disease, watermelon mosaic virus (WMV), in susceptible cucumbers. Furthermore, the Pearson correlation analysis identified genome-wide co-expressed defense genes with CsTCP14. A potential target CsNBS-LRR gene, Csa6M344280.1, was obtained as obviously reduced and was negatively correlated with the expression of the susceptible gene CsTCP14. Moreover, the interaction experiments of electrophoretic mobility shift assay (EMSA) and yeast one-hybrid assay (Y1H) were successfully executed to prove that CsTCP14 could transcriptionally repress the expression of the CsNBS-LRR gene, Csa6M344280.1, which resulted in inducing susceptibility to foliage diseases in cucumber. As such, we constructed a draft model showing that the leaf-specific expressed gene CsTCP14 was negatively regulating the defense gene Csa6M344280.1 to induce susceptibility to foliage diseases in cucumber. Therefore, this study explored key susceptible genes in response to foliage diseases based on a comprehensive analysis of public transcriptome data and provided an opportunity to breed new varieties that can resist foliage diseases in cucumber, as well as in other crops.