Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Improved Human In Vitro Models for Cardiac Arrhythmia: Disease Mechanisms, Treatment, and Models of Atrial Fibrillation

Heart rhythm disorders, arrhythmias, place a huge economic burden on society and have a large impact on the quality of life of a vast number of people. Arrhythmias can have genetic causes but primarily arise from heart tissue remodeling during aging or heart disease. As current therapies do not address the causes of arrhythmias but only manage the symptoms, it is of paramount importance to generate innovative test models and platforms for gaining knowledge about the underlying disease mechanisms which are compatible with drug screening. In this review, we outline the most important features of atrial fibrillation (AFib), the most common cardiac arrhythmia. We will discuss the epidemiology, risk factors, underlying causes, and present therapies of AFib, as well as the shortcomings and opportunities of current models for cardiac arrhythmia, including animal models, in silico and in vitro models utilizing human pluripotent stem cell (hPSC)-derived cardiomyocytes.
On generalized taxicab metric in three dimensional space

In this paper, we define the generalized taxicab distance function in three dimensional space, which includes the taxicab distance function as a special case, and we show that three dimensional generalized taxicab distance function determines a metric. Then we give some properties of three dimensional generalized taxicab metric, and determine Euclidean isometries of the space preserving the generalized taxicab metric.
Meterological Effects on Soil Mositure and Crop Yield as Determined From the Soybean Crop Simulator: GLYCIM.

Abstract : Estimation of near surface soil moisture availability is of great importance to meteorologists and agriculturists. Potential benefits from knowing the soil volumetric water content include healthier crops, savings in water and money, and reduced leaching of hazardous chemicals into groundwater supplies. Many methods of estimating soil moisture have been developed. Devices to measure volumetric water content include tensiometers, porous electrical resistance blocks, neutron scatterers, Time Domain Reflectors (TDRs), and capacitance probes. Meteorologically driven computer models have also been constructed to estimate the soil volumetric water content. Computer crop simulators must also estimate soil moisture for the plants themselves as well as the nutrient content and flow in the soil. This thesis discusses some problems in the soil moisture module of the soybean crop simulator: GLYCIM. Initial model calculations are compared to a proven soil hydrology model. Improvements were made to the soil moisture module of GLYCIM so a more accurate estimation of soil volumetric water content and nutrients in the soil are calculated and available to plants in the model. Soil volumetric water content was then compared to the soil hydrology model for verification and differences were explained. Sensitivity tests were then carried out on GLYCIM to see which meteorological conditions are most important to soil volumetric water content as calculated by the model and also to crop yield as forecast by GLYCIM. Maximum probable error for soil volumetric water content and crop yield were calculated. -BKA
PENGARUH PEMBERIAN JAMBU BIJI MERAH MERAH TERHADAP KADAR HEMOGLOBIN PADA AKTIFITAS FISIK MAKSIMAL MAHASISWA JURUSAN ILMU KEOLAHRAGAAN 2016

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh pemberian jambu biji merah merah terhadap kadar hemoglobin pada aktifitas fisik maksimal mahasiswa jurusan ilmu keolahragaan stambuk 2016. Penelitian dilakukan di Stadion Universitas Negeri Medan. Penelitian ini menggunakan penelitian eksperimen, dengan metode Two Groups Pretest–Posttest Design. Sampel penelitian Mahasiswa Ilmu Keolahragaan Stambuk 2016 sebanyak 12 orang. Aktifitas fisik maksimal dilakukan dengan bleeptest. Hemoglobin di ukur dengan perbadingan pemberian jambu biji merah dengan air mineral dan pemeriksaan kadar Hemoglobin dilakukan di awal dan diakhir perlakuan.Teknik analisis data pada penelitian ini menggunakan uji t. Hasil penelitian menunjukkan terjadi penurunan kadar rata-rata Hemoglobin pada jambu biji merah =9,917 g/dl (pretest) menjadi =8,45 g/dl (post test) dan pada air mineral =9,7667 g/dl (pretest) menjadi =9,2 g/dl (posttest) dengan nilai bleeptest pada kelompok ekperimen 40,1667 dan kelompok kontrol 42,633. Hasil uji analisis diperoleh nilai p=0,99 pada jambu biji merah, p=0,118 pada air mineral dan p=0,475 pada bleeptest yang menunjukkan tidak ada perbedaan yang bermakna ( Tidak signifikan) kadar Hemoglobin pretest dan post test dan bleeptest jambu biji merah dengan air mineral. Penelitian ini menyimpulkan bahwa jambu biji merah tidak mempengaruhi kadar Hemoglobin pada Mahasiswa Stambuk 2016.Kata Kunci: Hemoglobin, Jambu Biji Merah
Agricultural Product Price Forecasting Methods: A Review

Agricultural price prediction is a hot research topic in the field of agriculture, and accurate prediction of agricultural prices is crucial to realize the sustainable and healthy development of agriculture. It explores traditional forecasting methods, intelligent forecasting methods, and combination model forecasting methods, and discusses the challenges faced in the current research landscape of agricultural commodity price prediction. The results of the study show that: (1) The use of combined models for agricultural product price forecasting is a future development trend, and exploring the combination principle of the models is a key to realize accurate forecasting; (2) the integration of the combination of structured data and unstructured variable data into the models for price forecasting is a future development trend; and (3) in the prediction of agricultural product prices, both the accuracy of the values and the precision of the trends should be ensured. This paper reviews and analyzes the methods of agricultural product price prediction and expects to provide some help for the development of research in this field.
High frequency subsurface Lagrangian measurements in the California Current with RAFOS floats

Abstract : This study presents float observations from four RAFOS floats that were deployed off central California for a twenty-three day period as part of a Tomography Demonstration Experiment. These floats, which sampled hourly, were used to investigate float characteristics and the navigational accuracy of current processing techniques. An ordinary mean least square method is proposed to mathematically estimate values for random and systematic errors, producing navigational trajectories which compliment previous methods when determining the most probable solution of the float trajectory. Potential sources of error in the navigational solution are examined, as well as the importance of float/source geometry on position accuracy. It was determined that these floats supported previous studies of the California Current System, and proposes that the California Undercurrent may in fact be wider and deeper that previously suspected. (AN)
Editorial: Cognitive inspired aspects of robot learning

COPYRIGHT © 2023 Cruz, Solis and Navarro-Guerrero. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Editorial: Cognitive inspired aspects of robot learning
Prevalence of Risk Factors for HAV, HBV, and HCV Infections in Babylon Governorate

Viral hepatitis is a significant global public health issue. This study was carried out to determine the prevalence and ntritional risk factors for HAV, HBV, and HCV infections in Babylon Governorate. A statistics of 328 patients with confirmed viral hepatitis attended different health institutions in Babylon governorate were collected form Department of Public Health of Babylon Governorate and included in this study. It was a trial to assess nutritional status of the patients. There were 41.16%, 40.24%, and 18.60% of patients are diagnosed with type A, B, and C viral hepatitis respectively. A significant association between hepatitis infections and vaccine intake, transmission methods (contact with infected patient, accident, and blood transfusion), and laboratory tests (sALT). In Conclusion Viral Hepatitis in Babylon necessitate broader vaccination coverage and tailored public health initiatives. A comprehensive approach including vaccination, screening, education, and nutrition support that essential for prevention.
Effect of Rural Black-Gray Water Treatment by Subsurface Wastewater Infiltration System on Soil Environment of Vegetable Crop Field

A field trial was conducted in Tianjin to assess the impact of “three-compartment septic tank (SPT) + soil wastewater infiltration system (SWIS)” on vegetable crop soil, determine the SPT effluent quality, and establish the consumer safety of vegetables grown above the SWIS. The effluent total nitrogen (TN), total phosphorus (TP), ammonium-N (NH4+-N), chemical oxygen demand (COD), and 5-d biochemical oxygen demand (BOD5) levels all varied largely every month. The average COD failed to meet the criteria of the Standard for Irrigation Water Quality (No. GB5084-2021) but significantly influenced bacterial community distribution. Hierarchical clustering disclosed seasonal variation in SPT effluent. SWIS treatment of rural black-grey water significantly affected both the vegetable soil TN and TP content, and it promoted microbial community diversity and richness in deep soil. The treatment also increased the relative abundances of the beneficial bacterial genera Thiobacillus and Arthrobacter by more than 320% and decreased the relative abundance of the pathogenic bacterial genus Streptomyces in vegetable soil by more than 20.33%. The faecal coliform levels and ascaris egg mortality rates in the vegetable crop soils lay within published human health and safety thresholds both before and after SWIS treatment. All vegetable crops grown above the SWIS were fit for human consumption. The VC level in the vegetables planted in experimental households were higher than those for the vegetables planted in ordinary households. The present work provides reasonable theoretical and empirical bases for optimising the “SPT + SWIS” process and SPT discharge standards in rural areas.
Potassium channels as novel molecular targets in hepatocellular carcinoma (Review)

Hepatocellular carcinoma (HCC) poses a serious health burden worldwide. It is often not diagnosed until the patient is at an advanced stage of the disease, when treatment options are limited and the prognosis is poor. Therefore, novel treatment strategies are urgently required. Potassium (K+) channels have an important role in HCC, including regulating the proliferation, migration, invasion and drug resistance of HCC cells. The aim of the present review was therefore to survey the relevant publications that have investigated K+ channels not only as markers for the early diagnosis of HCC, but also as potential therapeutic targets for the treatment of HCC. Several of these channels have been indicated to be the sites of action for natural products previously known to inhibit HCC; however, more systematic studies are required to determine which K+ channels may be utilized for the clinical treatment of HCC, particularly in the advanced stages of the disease and in cases where patients are resistant to the existing drugs.
Association Between Coronary Heart Disease and the C 3 F-Gene in Essential Hypertension

GC: Plasma volume and chronic hypertension. Relationship to arterial pressure levels in different hypertensive diseases. hemodynamic comparison of essential and renovascular hypertension. Cardiac output and total peripheral resistance supine and tilted. Work of digital vasoconstriction produced by infused norepinephrine in primary hypertension. Aspects of the relation between functional and structural cardiovascular factors in primary hypertension. Experimental studies in spontaneously hypertensive rats. 1962 30. Suwa N, Takahashi T: Morphological and morphometrical analysis of circulation in hypertension and ischemic kidney.
Dengue Fever Surveillance in Mato Grosso do Sul: Insights from Genomic Analysis and Implications for Public Health Strategies

Since its discovery in early 1916, dengue fever, a common vector-borne illness in Brazil, has resulted in extensive urban outbreaks and poses a serious threat to the public’s health. Understanding the dynamics of Dengue Virus (DENV) serotypes circulating in different regions of Brazil is essential for implementing effective disease control and prevention measures. In response to this urgent need, we conducted an on-site training program in genomic surveillance in collaboration with the Central Laboratory of Health and the Secretary of Health of the Mato Grosso do Sul state. This initiative resulted in the generation of 177 DENV genome sequences collected between May 2021 and May 2022, a period during which over 11,391 dengue fever cases were reported in the state. Through this approach, we were able to identify the co-circulation of two different dengue serotypes (DENV1 and DENV2) as well as the existence of diverse viral lineages within each genotype, suggesting that multiple introduction events of different viral strains occurred in the region. By integrating epidemiological data, our findings unveiled temporal fluctuations in the relative abundance of different serotypes throughout various epidemic seasons, highlighting the complex and changing dynamics of DENV transmission throughout time. These findings demonstrate the value of ongoing surveillance activities in tracking viral transmission patterns, monitoring viral evolution, and informing public health actions.
Aedes aegypti container preference for oviposition and its possible implications for dengue vector surveillance in Delhi, India

OBJECTIVES Dengue is a mosquito-borne viral disease globally transmitted by Aedes aegypti. The most effective method to prevent the transmission of the disease is proficient vector control. Understanding the breeding behaviour of the responsible vectors is very pertinent in this regard; therefore, the present study was conducted to understand Ae. aegypti behaviour regarding the selection of containers for oviposition in the megacity of Delhi. METHODS A household survey in different localities within Delhi was carried out during 2018-2019. All available containers were inspected for the presence of immature Ae. aegypti. In entomological surveillance, the ovipositional preference of Aedes was computed using the breeding preference ratio, container index in the field, and laboratory settings, and associations of dengue cases with monthly variation in environmental factors and container type were also calculated. RESULTS The household larval survey in 40 localities showed that 40% of 27,776 water-holding containers in 3,400 houses were plastic, followed by overhead tanks (26.2%), and coolers (12.1%). The most preferred breeding habitat was clay pots (9.3%), followed by metallic containers (8.5%) and solid waste (7.1%). A laboratory-based study showed that Aedes preferred clay containers (81.8%) over 4 other types of containers (plastic, paper, metal, and glass). CONCLUSIONS The present study provides a rationale for using clay containers as a possible surveillance tool (ovitraps) or as a vector control tool. This information might aid researchers in developing novel traps and targeting preferred containers for larval control activities during transmission and non-transmission seasons.
Research on Log Anomaly Detection Based on Sentence-BERT

Log anomaly detection is crucial for computer systems. By analyzing and processing the logs generated by a system, abnormal events or potential problems in the system can be identified, which is helpful for its stability and reliability. At present, due to the expansion of the scale and complexity of software systems, the amount of log data grows enormously, and traditional detection methods have been unable to detect system anomalies in time. Therefore, it is important to design log anomaly detection methods with high accuracy and strong generalization. In this paper, we propose the log anomaly detection method LogADSBERT, which is based on Sentence-BERT. This method adopts the Sentence-BERT model to extract the semantic behavior characteristics of log events and implements anomaly detection through the bidirectional recurrent neural network, Bi-LSTM. Experiments on the open log data set show that the accuracy of LogADSBERT is better than that of the existing log anomaly detection methods. Moreover, LogADSBERT is robust even under the scenario of new log event injections.
Traditional ecological knowledge and practices for ecosystem conservation and management: the case of savanna ecosystem services in Limpopo, South Africa

ABSTRACT Traditional ecological knowledge (TEK) aids ecosystem conservation and management. While recognising the importance of Western science and knowledge, we argue that TEK practices are not appreciated resulting in continued and accelerated degradation of ecosystem services. This is prevalent among rural communities who are disadvantaged as their livelihoods depend on these ecosystem services. Taking the Capricorn District of Limpopo Province in South Africa as a case study, we explored the TEK practices employed to conserve and manage savanna ecosystem services. Employing the socio-ecological analysis (SEA) theory, we examined the perception and value of savanna ecosystem services. Data were initially collected from interviews with a professional biodiversity expert, an academic biodiversity expert, and a professional archaeologist and cultural expert (n = 4). In phase two, interviews were conducted with tribal representatives, traditional leaders, and community members (n = 43) in the four villages of Ga-Dikgale, Ga-Matlala, Moletlane and Ga-Malebogo across Capricorn District Municipality. Field observations were also undertaken. The findings highlighted the interrelated forms of sociocultural practices for the conservation and management of savanna ecosystem services, including norms, taboos, myths, rules, and cultural lifestyles. There were age differences in valuing and using TEK where younger people perceived TEK as backward. They relied on Western scientific knowledge, which they lauded as contemporary and not in opposition with their religious values. In conclusion, TEK continued to provide best practices for ecosystem conservation and management. This was identified by the respect and attention from the community who were aware of TEK even if they did not practice the processes. However, TEK is under threat as rural communities become more urbanized.
Fault estimation observer design for a class of nonlinear multiagent systems in finite‐frequency domain

This paper focuses on the fault estimation observer design problem in the finite‐frequency domain for a class of Lipschitz nonlinear multiagent systems subject to system components or actuator fault. First, the relative output estimation error is defined based on the directed communication topology of multiagent systems, and an observer error system is obtained by connecting adaptive fault estimation observer and the state equation of the original system. Then, sufficient conditions for the existence of the fault estimation observer are obtained by using a generalized Kalman‐Yakubovich‐Popov lemma and properties of the matrix trace, which guarantee that the observer error system satisfies robustness performance in the finite‐frequency domain. Meanwhile, the pole assignment method is used to configure the poles of the observer error system in a certain area. Finally, the simulation results are presented to illustrate the effectiveness of the proposed method.
Human Factors Considerations for Quantifiable Human States in Physical Human–Robot Interaction: A Literature Review

As the global population rapidly ages with longer life expectancy and declining birth rates, the need for healthcare services and caregivers for older adults is increasing. Current research envisions addressing this shortage by introducing domestic service robots to assist with daily activities. The successful integration of robots as domestic service providers in our lives requires them to possess efficient manipulation capabilities, provide effective physical assistance, and have adaptive control frameworks that enable them to develop social understanding during human–robot interaction. In this context, human factors, especially quantifiable ones, represent a necessary component. The objective of this paper is to conduct an unbiased review encompassing the studies on human factors studied in research involving physical interactions and strong manipulation capabilities. We identified the prevalent human factors in physical human–robot interaction (pHRI), noted the factors typically addressed together, and determined the frequently utilized assessment approaches. Additionally, we gathered and categorized proposed quantification approaches based on the measurable data for each human factor. We also formed a map of the common contexts and applications addressed in pHRI for a comprehensive understanding and easier navigation of the field. We found out that most of the studies in direct pHRI (when there is direct physical contact) focus on social behaviors with belief being the most commonly addressed human factor type. Task collaboration is moderately investigated, while physical assistance is rarely studied. In contrast, indirect pHRI studies (when the physical contact is mediated via a third item) often involve industrial settings, with physical ergonomics being the most frequently investigated human factor. More research is needed on the human factors in direct and indirect physical assistance applications, including studies that combine physical social behaviors with physical assistance tasks. We also found that while the predominant approach in most studies involves the use of questionnaires as the main method of quantification, there is a recent trend that seeks to address the quantification approaches based on measurable data.
Molecular prevalence of Anaplasma spp. in cattle and assessment of associated risk factors in Northeast Thailand

Background and Aim: Anaplasma spp. are common rickettsia species described in ruminant hosts, including cattle. The clinical signs of anaplasmosis range from asymptomatic to mortality. However, there are insufficient studies on epidemiology surveys of this blood pathogen. This study aimed to estimate the prevalence and risk factors of anaplasmosis in beef and dairy cattle in Northeast, Thailand. Materials and Methods: A total of 187 blood samples of beef and dairy cattle were collected from five provinces in Northeast Thailand. Anaplasma spp. infections were screened by microscopic examination and polymerase chain reaction targeting specific genes (msp4 gene for Anaplasma marginale and 16S rRNA gene for Anaplasma platys and Anaplasma bovis). Moreover, the associated risk factors for the infections were evaluated. Results: Overall, blood samples from cattle revealed that 17.6% (33/187) were positive for Anaplasma spp. by microscopic examination and 20.8% (39/187) were positive by DNA amplification. Of these 20.8%, 17.6% were A. marginale and 3.2% were A. platys. However, A. bovis infection was not detected. Infection with Anaplasma spp. and A. marginale showed a significant association with breed and gender (p < 0.05) while age and packed cell volume levels showed no significant statistical relationship between Anaplasma spp. infected and uninfected animals. Conclusion: This study indicated that anaplasmosis is distributed in beef and dairy cattle in Thailand; therefore, prevention and control strategies for these pathogens should be improved. This information will benefit veterinarians and cowherds by avoiding vector exposure and eliminating tick breeding sites.