Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of a Rapid Drawdown and Prolonged Dewatering on Fishing Effort, Catch, and Harvest in a Nebraska Reservoir

Red Willow Reservoir, Nebraska, experienced a rapid reduction (drawdown) in surface area, from 580 to 240 ha (59%), and prolonged maintenance at a low-water level from November 2009 until June 2012 (although the reservoir did not begin to refill until 2013 due to drought conditions). We documented changes in fishing effort, catch, and harvest at Red Willow Reservoir from two years pre-drawdown to three years post-drawdown. Fishing effort shifted from a majority of boat anglers to roughly equal representation by boat and bank anglers because of the low-water level. Effort also shifted from anglers seeking specific species to anglers simultaneously seeking all species (anything) during first-year post-drawdown, and then reverted back to anglers seeking specific species during the second and third years post-drawdown. Angler catch of fishes declined substantially post-drawdown. This case study highlights the complicated dynamics that exist among angler participation, reservoir quality, and sport-fish community. Understanding these dynamics is important in the management of fisheries, particularly when fishery managers must manage a reservoir subjected to an extreme change.
Gender Differences and Amputation Risk in Peripheral Artery Disease—A Single-Center Experience

Background and Objectives: Peripheral artery disease (PAD) affects both genders, but the knowledge of clinical and therapeutic aspects particular to each gender has a prognostic value, modulating the risk of amputation and helping to reduce the risk of death or the occurrence of an acute vascular event secondary to optimal management. Materials and Methods: We conducted a retrospective, descriptive study that included 652 patients with PAD who were evaluated at “St. Spiridon” Hospital’s Cardiology Department and divided into two groups according to gender: women (100 cases) and men (552 cases). We evaluated demographics, anthropometric data, as well as clinical and paraclinical parameters in the two groups. Results: Men had a lower mean age (p < 0.001), higher mean BMI (p = 0.049) and were more frequent smokers. (p = 0.008). Hypercholesterolemia (p = 0.026), obesity (p = 0.009), concomitant cerebrovascular (p = 0.005) and chronic kidney disease (p = 0.046) were more common in women, while coronary artery disease (p = 0.033) was more common in men. The number of angiographic stenotic lesions (p = 0.037) is a statistically significant parameter in our study, with both genders predominantly associated with stenotic lesions. In addition, directly proportional relationships were found between smoking, uric acid, inflammatory markers, and the number of stenotic lesions and thromboses or the ankle–brachial index (ABI). In the subgroup of men, the number of stenotic and thrombosed lesions positively correlated with the ABI value (p < 0.001). The presence of more than three cardiovascular risk factors (p = 0.001) and serum triglyceride levels (p = 0.019) significantly correlated with the number of angiographically detected lesions. We applied several risk scores (PREVENT III, Finnvasc Score, or GermanVasc risk score) in our study group for prognostic purposes, without showing statistically significant differences between genders. Men, rest pain, gangrene, smoking status, the presence of more than three cardiovascular risk factors, or a serum HDL-cholesterol level below 40 mg/dL (p < 0.001 for all parameters) are independent predictors associated with amputation in our study group. Conclusions: In our study, we demonstrated that several clinical–paraclinical particularities guide the diagnosis, providing the clinician with prognostic and therapeutic tools to choose the optimal management with maximum benefits.
Effects of peat based substrate combinations on mineral nutrition, growth and yield of tomato

Abstract Study was aimed to examine the effects of growth media (GM) consisted of peat and different domestic materials on nutrition, growth and yield of tomato as alternative to cocopeat in Turkiye. For this, cocopeat(GM1), perlite(GM2), leonardite(GM3), vermicompost(GM4), and peat(GM5) were used as substrates. Each substrate was used as a control in itself, and a total of 17 combinations were tried by keeping the peat constant and mixing in 1:1, 1:2, 1:4 (V/V) ratios. The mixtures were filled in 7-liter pots where seedlings were planted, irrigated with water for the first week, and then irrigated with nutrient solution. The research was established as a 4-replications pot experiment and the Solanum lycopersicum cv.Vitello tomato variety was used as the plant material. The nutrient solution was applied with a drip irrigation. The volume of the applied nutrient solution was adjusted manually to obtain 10-30% leaching ratio. In general, vermicompost and its mixtures with peat were the most effective growth media on leaf and fruit nutrient concentrations. The highest fruit yields were obtained from plants grown in solely peat and 1:1 peat + vermicompost medium. Similarly, the highest biomass weight was recorded from the plants grown under 1:1 peat + vermicompost mixture. In addition to this findings, it was observed that some peat-containing mixtures were also found to be competitive with widely used media in terms of the other parameters studied. As a result, it was seen that most of the peat containing GM especially peat + vermicompost mixtures, can be used in soilless tomato cultivation as alternative to cocopeat.
Chemical composition, sensory and microbial analysis of yoghurt-like product from breadfruit, coconut and soybean extract

Yoghurt, a dairy product with established nutritional and health benefits. However, food security coupled with high cost of animal milk and its products has prompted the need for the use of plant milk, hence the need for alternative products. This research is aimed at investigating the chemical, microbial and sensory attributes of yoghurt-like products made from breadfruit (B), coconut (C), and soybean (S) extract in the ratio: B20:C20:S60, B20:C30:S50, B30:C20:S50 and B30:C30:S40 fermented with Lactobacillus acidophilus using standard methods. The percentage proximate composition of the yoghurt-like product revealed the following ranges for moisture (70.06+0.01 to 78.02+0.11), crude protein (11.08+1.32 to 20.87+0.02), crude fat (2.01+0.31 to 3.01+0.31), crude fiber (4.37+0.03 to 6.01+0.16) and carbohydrate (3.10+0.02 to 5.51+0.03). There was no significant difference (p>0.05) in the protein values of B20: C20: S60 when compared with the commercial (100%) cow milk yoghurt. All the yoghurt-like products contained appreciable ranges of essential minerals, namely: Ca (30.02+0.05 to 40.31+0.03), Mg (1.22+0.22 to 11.2+ 36), Na (2.80±0.12 to 12.38+0.03) and P (5.15+0.62 to 20.02+ 0.52). The microbial results under refrigeration temperature at 4oC showed that the microbial load increases with the blend with high percentage of breadfruit. The sensory attributes of the yoghurt-like products composed of B20:C30:S50 was rated closest to the control (100% cow milk yoghurt). The results obtained from this research has shown that its feasible to produce non-dairy yoghurt derived from blend of breadfruit, coconut, and soybean extract of comparable nutritional and health benefits with the whole milk yoghurt.
AAPG Memoir 73, Chapter 8: Seismic Evidence for Widespread Gas Hydrate Formation, Offshore West Africa

Seismic reflection data recorded offshore west Africa reveal the presence of extensive bottom simulating reflectors (BSRs) on the continental slope off the Niger and Congo River Deltas. Cumulative surface areas encompassing the Nigeria and Congo BSR occurrences are approximately 11,000 km2 and 4000 km2, respectively. West African BSRs display many of the characteristics that have commonly been ascribed to submarine gas hydrates elsewhere in the world, including reflection polarity reversal relative to the sea floor reflection, consistency between depth of the BSR and base of the gas hydrate stability field, geometric relationships between BSR and bedding plane reflections, and a positive correlation between the subwater bottom depth of the BSR and the water depth. Widespread BSRs along the Nigeria and Congo continental slopes generally occur in areas of complex structure and where water depths are greater than 1200 m. The relationship between gas hydrate occurrence and structure exists, in part, because BSRs are more easily recognized on seismic sections where the BSRs cut across dipping stratigraphic reflections. However, faults and dipping stratigraphy also facilitate migration of biogenic or thermogenic gas to the base of the gas hydrate stability zone, enabling the formation of BSRs.
Impact of an abrupt cooling event on interglacial methane emissions in northern peatlands

Rapid changes in atmospheric methane (CH4), temperature and precipitation are documented by Greenland ice core data both for glacial times (the so called Dansgaard- Oeschger (D-O) events) as well as for a cooling event in the early Holocene (the 8.2 kyr event). The onsets of D-O warm events are paralleled by abrupt increases in CH4 by up to 250 ppb in a few decades. Vice versa, the 8.2 kyr event is accompanied by an intermittent decrease in CH4 of about 80 ppb over 150 yr. The abrupt CH4 changes are thought to mainly originate from source emission variations in tropi- cal and boreal wet ecosystems, but complex process oriented bottom-up model estimates of the changes in these ecosys- tems during rapid climate changes are still missing. Here we present simulations of CH4 emissions from northern peat- lands with the LPJ-Bern dynamic global vegetation model. The model represents CH4 production and oxidation in soils and transport by ebullition, through plant aerenchyma, and by diffusion. Parameters are tuned to represent site emis- sion data as well as inversion-based estimates of northern wetland emissions. The model is forced with climate input data from freshwater hosing experiments using the NCAR CSM1.4 climate model to simulate an abrupt cooling event. A concentration reduction of 10 ppb is simulated per de- gree K change of mean northern hemispheric surface temper- ature in peatlands. Peatland emissions are equally sensitive to both changes in temperature and in precipitation. If simu- lated changes are taken as an analogy to the 8.2 kyr event, bo- real peatland emissions alone could only explain 23 % of the 80 ppb decline in atmospheric methane concentration. This points to a significant contribution to source changes from low latitude and tropical wetlands to this event.
Analisis Faktor Kejadian Hipotermi pada Lansia Pasca General Anestesi di Instalasi Bedah Sentral

Kejadian hipotermi pada lansia disebabkan oleh perubahan pada fungsi jantung dan pembuluh darah, lansia termasuk usia yang ekstrem terjadinya hipotermi pasca pembedahan dengan suhu dibawah 36 ºC. Dampak negatif hipotermi yaitu pemulihan anastesi yang lebih lama, iskemia, aritmia, infeksi luka, perdarahan dan penurunan metabolisme obat. Tujuan : Untuk mengetahui faktor kejadian hipotermi pada lansia pasca general anestesi di Instalasi Bedah Sentral RSUD Cilacap. Metode : Penelitian kuantitatif dengan jenis penelitian observasional analitik dengan pendekatan cross sectional. Sampel penelitian ini meliputi 30 pasien lansia usia minimal 60 tahun, dengan teknik sampel yaitu total sampling. Data dikumpulkan dengan mengobservasi langsung dan dokumentasi dilihat dari rekam medis. Analisis data menggunakan uji univariat dan bivariat. Hasil : Tidak ada hubungan antara jenis kelamin (p = 0,521), ada hubungan antara indeks massa tubuh (p = 0,020), suhu ruangan operasi (p = 0,006), dan lama operasi (p = 0,026) dengan kejadian hipotermi pada lansia pasca general anestesi. Kesimpulan : Tidak ada hubungan antara jenis kelamin dan ada hubungan antara indeks massa tubuh, suhu ruangan operasi dan lama operasi dengan kejadian hipotermi pada lansia pasca general anestesi di Instalasi Bedah Sentral RSUD Cilacap.
Fault-zone geology: lessons from drilling through the Nojima and Chelungpu faults

Abstract Several drilling projects have been conducted through active faults with the aim of learning about the geology of the fault zones and tentatively correlating the structure and mineralogy of the fault zones with their seismological behaviour during recent earthquakes. Here we present the major results obtained from structural and mineralogical studies of core samples retrieved from the dextral reverse strike-slip Nojima Fault (Japan) within granitic rocks following the Kobe earthquake (1995), and from the Chelungpu Thrust Fault (Taiwan) within alternating silts and shales following the Chi-chi earthquake (1999). We show how these projects, despite not fullfilling all their objectives, have still contributed to a better geological knowledge of the fault zones, to a better characterization of the slip zones related to the recent earthquakes particularly of their thickness, microstructures and deformation mechanisms, and to a better understanding of the nature and role of fluids within the fault zone. They have also led to new questions, and to new approaches, for studying fault-rock samples. For all of these reasons, they have stimulated international scientific research into fault-zone geology.
Size-Controlled ZnO Nanoparticles Synthesized with Thioacetamide and Formation of ZnS Quantum Dots

In this work, we report the first attempt to investigate the dependence of thioacetamide (TAA) on the size of ZnO nanoparticles (NPs) in forming ZnS nanostructures from ZnO. Size-controlled B(blue)_, G(green)_, and Y(yellow)_ZnO quantum dots (QDs) and NC (nanocrystalline)_ZnO NPs were synthesized using a sol–gel process and a hydrothermal method, respectively, and then reacted with an ethanolic TAA solution as a sulfur source. ZnO QDs/NPs began to decompose into ZnS QDs through a reaction with TAA for 5~10 min, so rather than forming a composite of ZnO/ZnS, ZnO QDs and ZnS QDs were separated and remained in a mixed state. At last, ZnO QDs/NPs were completely decomposed into ZnS QDs after a reaction with TAA for 1 h irrespective of the size of ZnO QDs up to ~50 nm. All results indicate that ZnS formation is due to direct crystal growth and/or the chemical conversion of ZnO to ZnS.
Hypernetworks-Based Hierarchical Federated Learning on Hybrid Non-IID Datasets for Digital Twin in Industrial IoT

Digital twin technology deployed in the industrial Internet of Things (IoT) will be unavailable because of data heterogeneity and data islands. As a machine learning approach for distributed architectures, federated learning generates a global model for edge devices by only transferring model parameters, and it ensures that the private data of each device is not leaked. This is naturally suitable for solving this problem. Because devices' data cannot be exchanged with other devices, one major challenge is learning an effective model among devices with heterogeneous data. Motivated by this issue, we propose hierarchical federated learning using a hypernetwork (HN) algorithm to alleviate the influence of non-IID data among the devices, including label distribution skew, quantity skew, and feature distribution skew. The lower layer of our method uses hypernetworks to generate the parameters of the local model for the devices, while its upper layer updates hypernetworks by aggregating their model parameters. It decouples the number of parameters transmitted by the upper and lower layers, and it achieves good accuracy while improving communication efficiency and reducing computation costs.
Analysis of User Acceptance Factors in Employee Attendance System

The importance of maintaining the quality of information systems is one of the main factors in creating the success of a system owned by a company so as to encourage employees to utilize technology in completing their work. The web-based employee presence system is one of the systems developed by companies to monitor and measure the level of productivity of human resources. Based on the results of interviews conducted by researchers with five informants
Dysregulation of circulating T follicular helper cell subsets and their potential role in the pathogenesis of syphilis

Introduction The role of the host immune response could be critical in the development of Treponema pallidum (Tp) infection in individuals with latent syphilis. This study aims to investigate the alterations in T follicular helper T (Tfh) cell balance among patients with secondary syphilis and latent syphilis. Methods 30 healthy controls (HCs), 24 secondary syphilis patients and 41 latent syphilis patients were enrolled. The percentages of total Tfh, ICOS+ Tfh, PD-1+ Tfh, resting Tfh, effector Tfh, naïve Tfh, effector memory Tfh, central memory Tfh,Tfh1, Tfh2, and Tfh17 cells in the peripheral blood were all determined by flow cytometry. Results The percentage of total Tfh cells was significantly higher in secondary syphilis patients compared to HCs across various subsets, including ICOS+ Tfh, PD-1+ Tfh, resting Tfh, effector Tfh, naïve Tfh, effector memory Tfh, central memory Tfh, Tfh1, Tfh2, and Tfh17 cells. However, only the percentages of ICOS+ Tfh and effector memory Tfh cells showed significant increases in secondary syphilis patients and decreases in latent syphilis patients. Furthermore, the PD-1+ Tfh cells, central memory Tfh cells, and Tfh2 cells showed significant increases in latent syphilis patients, whereas naïve Tfh cells and Tfh1 cells exhibited significant decreases in secondary syphilis patients when compared to the HCs. However, no significant change was found in resting Tfh and effector Tfh in HCs and secondary syphilis patients or latent syphilis patients. Discussion Dysregulated ICOS+ Tfh or effector memory Tfh cells may play an important role in immune evasion in latent syphilis patients.
Changes in the infrared 8-1.2 /spl mu/m soil signatures due to soil disturbances during mine burial

This paper examines the spectral signatures of disturbed and undisturbed soils that are associated with the deployment of landmines. An 8-12-/spl mu/m low cost infrared imager (LCii) was used to collect spectral data at the DSTO mine detection facility. Two types of soils were under investigation, a poorly structured sandy soil and a clay based laterite soil. The study showed that soil mineral fractions at the dimensions of the clay particles were efficient scatterers of 8-12-/spl mu/m wavelengths. The efficiency of these particles as scatterers was such that a disturbed laterite soil could avoid detection by the sensor. Disturbed soils, which were deficient in clay or organic fractions such as the sandy soil, were shown to be poor scatterers and did not mask the discrimination of themselves or the buried objects below them.
CogNLG: Cognitive graph for KG‐to‐text generation

Knowledge graph (KG) has been fully considered in natural language generation (NLG) tasks. A KG can help models generate controllable text and achieve better performance. However, most existing related approaches still lack explainability and scalability in large‐scale knowledge reasoning. In this work, we propose a novel CogNLG framework for KG‐to‐text generation tasks. Our CogNLG is implemented based on the dual‐process theory in cognitive science. It consists of two systems: one system acts as the analytic system for knowledge extraction, and another is the perceptual system for text generation by using existing knowledge. During text generation, CogNLG provides a visible and explainable reasoning path. Our framework shows excellent performance on all datasets and achieves a BLEU score of 36.7, which increases by 6.7 compared to the best competitor.
A Review of Cybersecurity in Grid-Connected Power Electronics Converters: Vulnerabilities, Countermeasures, and Testbeds

With the increasing installations of solar energy, electric vehicles, and other distributed energy resources and the deeper developments of digitalization and standardization, cybersecurity became more and more essential and critical in modern power systems. Unfortunately, most prior research work focuses on the cybersecurity of power transmission and distribution networks other than distributed energy devices and their grid-connected power converters. Focusing on the Grid-Connected Power Electronics Converters (GCPECs), this article does a comprehensive review of existing outcomes from selected references, in the aspects of vulnerabilities, countermeasures, and testbeds. By analyzing the GCPEC’s layout and countermeasure candidates, it is found that the vulnerabilities of GCPECs include both cyber and physical layers that are easily accessible to malicious hackers. These vulnerabilities in the two layers must be considered simultaneously and coordinate well with each other. Especially, hardware hardening is an essential approach to enhance cybersecurity within GCPECs. It is also noticed that the detection and mitigation approaches should consider the complexity of algorithms to be applied and assess the limits of computing and data processing capabilities in GCPECs while evaluating the feasibility of countermeasure candidates to cyberattacks in testbeds. In addition, the countermeasures should meet relevant standards, such as IEEE-1547.1, IEEE-2030.5, IEC-61850, and IEC-62351, to ensure the interoperability and cybersecurity of GCPEC devices in smart grids. Finally, based on the review and analysis, four recommendations are raised for future research on GCPEC’s cybersecurity and their applications in smart grids.
Efficiency of air inlet wells in vapor extraction systems

Vapor extraction is often used to remove volatile organic chemicals from unsaturated soils. Air inlet wells, which are left open to atmospheric pressure, are commonly installed around the extraction well to accelerate the removal of volatile contaminants. We employ the method of images in radial coordinates and the principle of superposition to develop an analytical solution for calculating the amount of air drawn in by inlet wells evenly spaced around an extraction well. Field tests of proposed vapor extraction systems can be compared with this solution to help evaluate whether gas flow will permeate the entire soil or will be concentrated in localized channels.
Preliminary Information of Iranian Lizard Leishmania Promastigote Transcriptome Sequencing by Next Generation Sequencing (NGS) Method

Background: A lizard Leishmania has been isolated from a lizard (Agama agilis) in Iran. Its genome sequence has not been determined, so far. Methods: The study was done at Shahid Beheshti University of Medical Sciences, Tehran, Iran in 2017–2023. Leishmania promastigotes were cultured in RPMI1640 culture medium and collected at logarithmic phase by centrigugation. Parasite RNA was extracted by the Qiagene standard kit and its quantity and quality was determined and sequenced by NGS method with Illumina PE machine at BGI Company (China). Results: The number of 8316 mRNA, 83 tRNA, 63 rRNA, 83 ncRNA, 5 snRNA, 1039 snoRNA, 36 region, and 3 repeat regions, 8343 CDS, 9597 Exon and 9292 Genes were identified in promastigote of Iranian lizard Leishmania. Conclusion: Genomic elements of Iranian lizards Leishmania (with unique characteristics) were determined and identified by NGS system.