Miracle-dz/UniFAR-FTUs huggingface dataset:
Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking

The essential task of Topic Detection and Tracking (TDT) is to organize a collection of news media into clusters of stories that pertain to the same real-world event. To apply TDT models to practical applications such as search engines and discovery tools, human guidance is needed to pin down the scope of an"event"for the corpus of interest. In this work in progress, we explore a human-in-the-loop method that helps users iteratively fine-tune TDT algorithms so that both the algorithms and the users themselves better understand the nature of the events. We generate a visual overview of the entire corpus, allowing the user to select regions of interest from the overview, and then ask a series of questions to affirm (or reject) that the selected documents belong to the same event. The answers to these questions supplement the training data for the event similarity model that underlies the system.
Correlation between Blood Lead Levels and Anaemia in Commercial Enamel Paint Industry Workers

Background: Lead causes acute, sub-acute or chronic poisoning through occupational exposure along with decrease in some trace elements like iron, whose absorption, distribution, metabolism and elimination being affected. Iron deficiency is a serious problem especially in developing countries and lead toxicity can augment anaemia directly by decreasing absorption of Iron and also by inhibiting enzymes of heme synthesis. Aim and Objectives: To assess haematological indices and serum iron and ferritin levels in Enamel paint industry workers who are exposed to very high Lead levels due to their occupation, and determine iron deficiency anaemia. Materials and Methods: Blood lead concentration was measured by Atomic Absorption Spectrophotometric (AAS) method. Haematological tests were performed using cell counter to measure haemoglobin, red blood cell and white blood cell count, etc. Mean corpuscular volume, mean corpuscular haemoglobin and mean corpuscular haemoglobin concentration were calculated. Serum ferritin and iron levels were assayed by chemilumenescence and spectrophotometric methods respectively. Results: All the parameters measured and calculated were found to be altered in paint workers as compared to healthy controls, with significant increase in blood lead level and decrease in the haematological as well as other analyte values. Conclusion: There seems to be a direct relationship between chronic lead exposure and the haematological disturbances, resulting in iron deficiency anaemia. Hence awareness about this association should be increased and protective measures should be implied accordingly. Correlation between Blood Lead Levels and Anaemia in Commercial Enamel Paint Industry Workers 1* 2 I. Mazumdar , K. Goswami Department of Biochemistry, KPC Medical College & Hospital, Jadavpur, Kolkata-700032 (West 2 Bengal) India, Department of Biochemistry, Lincoln University College, Kuala Lumpur, Malaysia
Performance and Stability of Enhancement-mode Fully-recessed GaN MIS-FETs and Partially-recessed MIS-HEMTs with PECVD-SiNx/LPCVD-SiNx Gate Dielectric

Characterizations were systematically conducted to compare the stability and reliability of the E-mode GaNbased fully recessed gate MIS-FETs and partially recessed MIS-HEMTs with the same gate scheme featuring PECVD-SiNx/LPCVD-SiNx dielectric stack. Despite a moderately larger RON, the MIS-FET delivers improved VTH uniformity and thermal stability. Similar reduced long-term PBTI and enhanced stability under NBTI stress could be simultaneously obtained in the MIS-FET in contrast with the MIS-HEMT. The MIS-FET could also deliver superior VTH stability under pulsed-mode gate bias characteristics compared with the MIS-HEMT. It is revealed that the electron trapping/de-trapping resulting in the instability difference occurs at both the dielectric/III-N interface and in the gate dielectric border.
Developing a New Tool for Determining the Difficulty of Laparoscopic Bariatric Surgery

Background: Recommendations for candidates of bariatric surgery are available but they seldom give guidance to help a specific patient. The purpose of this study is to develop a new tool for determining the difficulty of laparoscopic bariatric surgery before surgery. Methods: This was a mixed method study. After a comprehensive search, semi structure interview and focus group discussions (FGD) with surgeons, and operating room personnel and department, initial draft of the questionnaire was prepared. We used Delphi method to achieve a group consensus of national and international surgeons. Finally, after several times of review and modification of the designed questions, a final questionnaire was prepared. Content and face validity, reliability and internal consistency (using Cronbach’s alpha) were determined.Results: Final questionnaire has 31 questions consist of I. Factors related to surgeon: experience(four questions), and exposure(one question), II. Factors related to patient: anatomy(eleven questions), and comorbidities(two questions), patient’s position(one question), and others(one question), III. Factors related to instruments and operation room, quantity(two questions), and quality(one question), IV. Factors related to other personnel: anesthesia team(six questions), and other personnel(two questions). Cronbach’s alpha was 0.98 for the whole questionnaire and between 0.86 and 0.97 for the four subscales. Conclusions: The psychometrics analysis indicated that it is valid and reliable for determining the difficulty of laparoscopic bariatric surgery. We recommend using this questionnaire for different settings either need to know difficulty of a bariatric surgery before a surgery or as an independent variable in various research projects.
Twelve-Month Prevalence of Psychiatric Morbidity in Cancer Patients in a Nigerian Oncology Centre

Background Cancer is a leading cause of mortality worldwide and is associated with a wide range of psychiatric morbidity.Methods In this descriptive study, 130 patients with different types of cancer were interviewed. Information on sociodemographic characteristics, medical comorbidity, stage of cancer, duration of treatment was obtained. Psychological distress was assessed using the GHQ-12, and psychosocial distress with the Distress Thermometer (DT). The MINI was used to establish the presence or absence of any psychiatric diagnosis, including any substance use disorder. Information on receipt of formal psychiatric treatment was also obtained. Associated factors and predictors of “Any Mental Disorder” (AMD) were determined. Analysis was carried out using SPSS 20.0 Results Prevalence of psychological distress (GHQ score > 2) was 63.8%, psychosocial distress (DT score > 3) (60.8%), adjustment disorder (20.0%), anxiety y disorder (18.5%), major depression (15.4%), delirium (6.9%), psychosis (2.3%), mania (0.8%), 12-month alcohol use disorder (3.8%), 12-month tobacco use disorder (0.8%), 12-month opioid use disorder (26.9%) and 12 month cannabis use disorder (0.8)%. In all, 66.9% had AMD. The most common medical comorbidity was hypertension (36.2%) and diabetes (23.1%). Predictors of AMD were: Predictors of AMD were: duration of cancer treatment above 6 months OR = 2.66, 95% CI (1.17-6.05), DT score > 3 OR = 2.78, 95% CI (1.24-6.21) and the presence of any medical comorbidity OR = 2.29, 95% CI (1.02-5.14). Conclusion Cancer is associated with significant psychiatric morbidity, necessitating a collaborative Consultation Liaison Psychiatric service in cancer care.
EFFECT OF INTERCROPPING SYSTEMS AND POTASSIUM FERTILIZATION LEVELS FOR MAIZE WITH SOYBEAN CROPS ON SOME PIERCING SUCKING INSECTES

This study was conducted to evaluate the effect of intercropping and potassium fertilization for maize with soybean plants on the population density levels of some piercing sucking insects at Diarb Negm distract Sharkia Governorate Egypt during 2017 and 2018 seasons. The results showed that intercropping system (1:1) and (3:3) maize with soybean decreased Rhopalosiphum maidis (Fitch), Rhopalosiphum padi (L.), Aphis gossypii (Glover), Empoasca decedens (Paoli), Empoasca decipiens (Paoli) , Cicadulina chinai (Ghauri), vibix (Haupt), Sogatella furcifera (Horv.) and whitefly, Bemisia tabaci (Genn.). The results indicate that increased of yield in the system (3:3). Data presented clearly that rate of 75 kg of potassium fertilization / fed. gave increased of yield maize with soybean plants and decreased infestation of some piercing sucking insects in both seasons.
THE INFLUENCE OF PERCEIVED VALUE, IDENTITY, AND SELF-CONGRUITY ON AQUA LIFE PURCHASE INTENTION

Environmental friendly efforts are a major thing that is important and must be applied in our life. AQUA LIFE is one of the product innovations made by PT. Tirta Investama to support environmentally friendly actions. This research was conducted to examine the consumer behavior of purchase intentions regarding identity and self congruity to Green Marketing with the Perceived Value that has been offered. The study was conducted for three months by collecting data using a questionnaire, then it was analyzed using SmartPLS v. 3.3. 2 using validity, reliability, and common method bias in the pre-test and actual test. The result showed that the overall T-statistics and P-Value met the rule of thumb, >1.96 and <0.05 explains that consumers are interested in buying AQUA LIFE with the product concept and packaging that are offered with an environmental-friendly concept, and they have experienced a Green Perceived Value. Consumers are aware of and want AQUA LIFE to fulfill their needs in accordance with their identity and self congruity
A Proposed Method for Age Detection of Person Based on the size of Face to the size of the Eye of a Face

: Age Detection scheme is to estimate and predict the real age or age group of a person. Facial expressions, emotions, posture, illumination, hair style and aging can be determined from facial appearance. A person at the age of 20 and at the age of 80 can never be identical in respect of facial expression. The structure of face is an important factor in determining age of a person. In this paper age detection technique has been presented with an aim to detect age of a person.
Validation of machine learning models to predict dementia-related neuropsychiatric symptoms in real-world data

Background Neuropsychiatric symptoms (NPS) are the leading cause of the social burden of dementia but their role is underestimated. The objective of the study was to validate predictive models to separately identify psychotic and depressive symptoms in patients diagnosed with dementia using clinical databases representing the whole population (real-world data). Methods First, we searched the electronic health records of 4,003 patients with dementia to identify NPS. Second, machine learning (random forest) algorithms were applied to build in the training sample (N=3,003) separate predictive models for psychotic and depressive symptoms. In order to evaluate the classification ability of the models, the following statistics were calculated for each model: the area under the receiver operating curve (AUC), sensitivity, specificity, accuracy, no-information rate and Kappa index. Third, calibration and discrimination were assessed in the validation sample (N= 1,000) to assess the performance of the models. A calibration curve was drawn by plotting the predicted probabilities for groups on the x-axis and the mean observed values on the y-axis. Results Neuropsychiatric symptoms were noted in the electronic health record of 58% of patients. The AUC reached 0.80 for the psychotic symptoms model and 0.74 for the depressive symptoms model. The Kappa index and accuracy also showed better discrimination in the psychotic model. Calibration plots indicated that both types of model had less predictive accuracy when the probability of neuropsychiatric symptoms was < 25%. The most important variables in the psychotic symptom model were use of risperidone, level of sedation, quetiapine and haloperidol and the number of antipsychotics prescribed. In the depressive symptom model, the most important variable was number of antidepressants prescribed, use of escitalopram, level of sedation and age. Conclusions More than half of the sample had NPS as identified by the presence of key terms in the electronic health record. Although NPS are not encoded, they are treated with antipsychotics and antidepressants, which allows developing valid predictive models by joining machine learning tools and real-world data. Given their good performance, the predictive models can be used to estimate prevalence of NPS in population databases.
Nitrogen and phosphorus dynamics in Nile tilapia farming in excavated rearing ponds

The purpose of this study was to determine the total nitrogen (TN) and total phosphorus (TP) balance during intensive tilapia farming in excavated ponds. To quantify TN and TP released into the environment, the supply water, effluents at the harvest time, fish composition, feed, and sediment were analysed. The mass balance between the amount of nutrients that is inserted through the feed, which is transformed into biomass by the fish and is retained in the sediment was calculated based on dry matter. The nutrient load arriving from the supply water was calculated as a function of the concentration of TN and TP. The TN and TP dynamics during the harvesting process in three different pond sizes identified that, on average, 2.37% of TN and 2.05% of TP inserted into the system during rearing is eliminated with 10.64% TN and 37.01% TP are retained in the sediment. The TN and TP input into the system occurs through the water supply, young fish, and the feed, the latter being responsible for about 92.87% TN and 96.05% TP. The feed composition indicates that the P level of the food is above the nutritional recommendations for the species. The amount of TP accumulated in the sediments indicates that there is a need for good management practices for water quality during the rearing and sediment management period before the beginning of a new production cycle.
Violations of expectation trigger infants to search for explanations

Infants look longer and explore more following violations-of-expectation, but the reasons for these surprise-induced behaviors are unclear. One possibility is that expectancy violations heighten arousal generally, thereby increasing infants' post-surprise activity. Another possibility is that infants' exploration reflects the search for an explanation for the surprising event. We tested these alternatives in three experiments. First in Experiment 1 we confirmed that seeing an object violate expectations (by passing through a solid wall) increased infants' exploration of the surprising object, relative to when no expectancy violation was seen. Then in Experiment 2 we measured infants' exploration after they had seen the same violation event, but then an explanation for the event was provided (the wall was revealed to have a large hole in it). We found that providing this explanation abolished infants' surprise-induced exploration. In Experiment 3 we replicated this effect. Furthermore, we found that the longer infants looked at the explanation, the greater their reversal in exploratory preference (i.e., the more they ignored the surprising object). These findings demonstrate that preverbal infants both seek and recognize explanations for surprising events.
The Time Interval in Patients Care Process of Colorectal Cancer A Hospital based Study in Khon Kaen, Thailand

Background: Colorectal cancer (CRC) is the fifth common cancer in Thailand. Waiting time is a problem within the cancer management and may lead to poor results of cancer. This study aimed to explore the time interval during the process of CRC management. Objective: To determine the time interval throughout the patients care process of CRC in a hospital in Khon Kaen, Thailand. Methods: A cross-sectional descriptive study of 191 CRC participants who undergoing treatment and CRC confirmed with pathology examination in the tertiary hospital in Khon Kean Province. Data were collected by structured interview and medical record. The time interval in each process of CRC reported by median and interquartile interval (IQI). Results: Median (IQI) of the time interval for diagnosis was 246 days (114-426 days). The longest time interval which accounted among the waiting time process was health system delay 89 days (27-221 days). Some factors differ in the time interval; the tertiary hospital at the first time, female, young patients, and lower-income had longer waiting time. Conclusions: In conclusion, this study showed that health system delay accounted for most of the time interval for the process of CRC management. For this issue, a shortening time interval for initial investigation was necessary. If the patient delay was to reduce, we needed promotion about knowledge of the first symptom that was related to CRC and rising patients’ awareness of cancer.
Stretchable, Transparent, and Self‐Patterned Hydrogel‐Based Pressure Sensor for Human Motions Detection

In this study, a binary networked conductive hydrogel is prepared using acrylamide and polyvinyl alcohol. Based on the obtained hydrogel, an ultrastretchable pressure sensor with biocompatibility and transparency is fabricated cost effectively. The hydrogel exhibits impressive stretchability (>500%) and superior transparency (>90%). Furthermore, the self‐patterned microarchitecture on the hydrogel surface is beneficial to achieve high sensitivity (0.05 kPa−1 for 0–3.27 kPa). The hydrogel‐based pressure sensor can precisely monitor dynamic pressures (3.33, 5.02, and 6.67 kPa) with frequency‐dependent behavior. It also shows fast response (150 ms), durable stability (500 dynamic cycles), and negligible current variation (6%). Moreover, the sensor can instantly detect both tiny (phonation, airflowing, and saliva swallowing) and robust (finger and limb motions) physiological activities. This work presents insights into preparing multifunctional hydrogels for mechanosensory electronics.
Investment, Tobin's Q, and Multiple Capital Inputs

Despite their solid theoretical basis, models of business investment based on Tobin's Q theory have recorded a generally disappointing empirical performance. This paper examines one possible source of misspecification. When the firm's technology is expanded to include two or more capital inputs, the investment equation following from maximizing behavior includes Q as well as a series of additional explanatory variables. The importance of these omitted variables is assessed, and the econometric evidence is mixed, as the Multi-Capital Q model clearly dominates the Conventional specification but empirical problems remain. In addition, the implications of the parameter estimates from the Conventional and Multi-Capital models for tax policy are noted.
Effects of natural environment on mental health: an umbrella review of systematic reviews and meta-analyses

Objectives: To synthesize the evidence on the effects of exposure to natural environment on mental health to inform future policymaking, practice, and research. Methods: A systematic search of nine major databases and additional sources were conducted using relevant keywords for the natural environment and mental health till November 2019. We included systematic reviews or meta-analyses reporting any measures of associations between the natural environment and mental health. The data on study characteristics and research findings were extracted using the JBI data extraction tool and synthesized narratively.Results: Twenty reviews were included in this umbrella review reporting both correlational and experimental studies. Among diverse population groups, the exposure to the natural environment was associated with improvements in depressive symptoms, anxiety, mood disorders, stress, cognitive and emotional functions, affect, happiness, and overall mental wellbeing. Conclusions: The findings of this review inform beneficial mental health outcomes associated with exposure to the natural environment. This umbrella review suggests collaborative policymaking, advanced research, and evidence-based practice protecting the natural environment and improving mental health across populations.
Definition, classification and morphometry of entrance of the bicipital groove and its associations with lesions of adjacent structures

Background The definition of the entrance of the bicipital groove (EBG) is still unclear, and the relationships between the EBG and lesions of the long head of the biceps brachii tendon (LBT) and biceps pulley complex (BPC) have long been controversial. The purpose of this anatomic and imaging study was to define the EBG and to examine morphological parameters, classifications, and their relationships with lesions of the LBT and BPC. Methods One hundred thirteen unpaired intact dry humeri, 34 cadaveric shoulder specimens and 278 shoulder images were collected, measured, and classified based on morphological characteristics. Soft tissue and bony landmarks of the EBG were classified into different types. The relationships between the types and lesions of the LBT and BPC were analyzed through an anatomic and imaging study. Results Type II, type A and type i of the EBG and type b of the adjacent articular surface accounted for most of the dry humeri, cadavers, and images. Based on the EBG classification in the superoinferior image view, all of the subluxations and dislocations were classified as type B (61/120, 50.83%; χ2 = 16.55, P < 0.001), and most LBT and BPC lesions were type B (65/117, 55.56%; χ2 = 26.05, P < 0.001). LBTs were injured in (χ2=, P < 0.001) 83.56% of type B, 100% of type C, and 95.83% of type iii EBGs (χ2 = 135.69, 31.89, all P < 0.001). Similarly, BPCs were injured in 89.04% of type B and 93.10% of type C EBGs (χ2 = 153.14, P < 0.001), while BPCs were injured in 95.8% of type iii EBGs (χ2 = 33.79, P < 0.001). Conclusions The EBG is an anatomical concept worthy of clinical attention. Anatomical variations in the EBG correlated with lesions of the LBT and BPC. LBT and BPC lesions correlated with type B and C EBGs by imaging analysis.