Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of meloxicam, lornoxicam, ketoprofen, and dexketoprofen on human cervical, colorectal, and mammary carcinoma cell lines

Targeting the inflammation-related molecules with nonsteroidal anti-inflammatory drugs (NSAIDs) represents a promising approach for cancer prevention/therapy. We evaluated the in vitro anticancer effects of meloxicam, lornoxicam, ketoprofen, and dexketoprofen on the proliferation, migration, and apoptosis of human cervical, colorectal, and mammary carcinoma cells. The antiproliferative activity and cytotoxicity of tested NSAIDs on HeLa, HT-29, and MCF-7 cell lines were assessed by the MTT test. The apoptosis-inducing potential was analyzed by fluorescent staining with acridine orange/ethidium bromide and DAPI. Migration activity was assessed by a wound-healing scratch assay. The tested NSAIDs reduced the viability of the used tumor cell lines. The cytomorphological analysis revealed reduced cell density and mitotic activity and the presence of cells with morphological features of early and late apoptosis. Significant inhibition of the migration capacity was established as well. In conclusion, NSAIDs could be candidates for the development of new pharmacological strategies for the treatment and prevention of cancer.
Precipitation Microphysics of Tropical Cyclones Over the Western North Pacific Based on GPM DPR Observations: A Preliminary Analysis

Using observations from the dual‐frequency precipitation radar (DPR) onboard the Global Precipitation Measurement mission (GPM) satellite, this study analyzes the microphysical structures and processes of tropical cyclone (TC) precipitation over the western North Pacific in terms of different precipitation efficiency indices (PEIs). The statistical results show that the mean mass‐weighted mean diameter of raindrops (Dm) at 2 km is 1.67 mm (1.37 mm) for convective (stratiform) precipitating clouds. Precipitating clouds with high PEI have higher liquid water path than nonliquid water path for both convective and stratiform clouds. The mean Dm of convective and stratiform precipitation increases as the PEI increases. The vertical profiles of Dm and reflectivity (Ze) for convective and stratiform precipitating clouds in TCs differ substantially as the PEI changes. Below the melting level, there is a clear decrease (increase) in Dm and Ze toward the surface for clouds with low (high) PEI. In general, clouds within TCs producing the most efficient precipitation are characterized by strong coalescence, not only for small droplets but also for relatively large raindrops; in contrast, the breakup of hydrometeors is the dominant process in convective and stratiform precipitating clouds with low PEI. These results will help validate and improve the hydrometeor parameterization schemes in cloud and climate models.
The effect of zonal asymmetries in the Brewer‐Dobson circulation on ozone and water vapor distributions in the northern middle atmosphere

The longitudinal variations in the time‐mean transport by the Brewer‐Dobson circulation are studied using a three‐dimensional (3‐D) residual circulation approach to analyze the effects on zonal asymmetries in stratospheric ozone (O3) and middle atmospheric water vapor (H2O). For January, the monthly mean residual winds, including both the Eulerian flow and the eddy‐induced time‐mean flow, were derived from general circulation model simulations with interactive chemistry (HAMMONIA), reanalysis (ERA‐Interim), and satellite data (Aura/MLS). Extending the picture of the zonal mean two‐dimensional Brewer‐Dobson circulation, we find a 3‐D circulation structure in relation to the zonal wave one in the middle atmosphere, including northward and downward residual winds over northern Europe/Asia with the downwelling directed toward the center of the polar vortex over northern Siberia, as well as southward and upward residual winds over the northern Pacific/Aleutians, and a pronounced cross‐polar transport from Asia to North America in the middle stratosphere. The residual advection of O3 and H2O shows that the observed wave one patterns in O3 and H2O are produced by the zonal asymmetries in the residual mass transport in which Eulerian and eddy time‐mean transports are largely counteracting. In comparison to observations, the model underestimates the effects of planetary waves but overestimates those of transient waves in configuring the stationary waves in O3 and H2O. Overall, the 3‐D residual circulation approach provides a useful diagnostic for understanding regional differences in middle atmospheric trace gas distributions and for validating general circulation models with interactive chemistry.
A Demands–Resources View of Safety Climate in Military Aviation

Safety climate surveys have been criticized because they lack an explicit theoretical basis. We present validation data for a safety climate survey based on the job demands–resources (JD-R) theory and designed for use in a military aviation context. We tested measurement and structural models based on JD-R theory across three datasets collected in 2014 (N = 8,799), 2015 (N = 8,910), and 2016 (N = 10,236). The measurement model fitted the data across the three administrations, reliability estimates were satisfactory for all scales, and predictions based on JD-R theory were realized. The theory-based instrument can help to explain variance in safety outcomes through clearly articulated direct, indirect, and moderated pathways that have the potential to enrich reports on safety climate.
Delaware River plume response to a strong upwelling‐favorable wind event

The mixing and secondary circulation in the Delaware River plume during a strong (10 m/s) upwelling‐favorable wind event in April 2003 have been observed using a dye tracer. The dye, injected into the halocline at the base of the plume, was surveyed for more than a day as it moved 28 km off shore. The secondary circulation within the plume was resolved as the dye patch dispersed. This flow pattern conformed with numerical model results of Fong and Geyer [2001] involving an upwelling flow 8.4 × 10−5 m/s (∼7.3 m/day) and a subsequent near surface, offshore flow (∼0.09 m/s) across the plume. The salting rate of the plume implied a mean vertical diffusivity of ∼2 × 10−4 m2/s where the gradient Richardson number was approximately 0.6.
Fault Mapping in Weh Island based on Fault Fracture Density Method (FFD)

Pulau Weh merupakan pulau vulkanik yang dilalui jalur sesar aktif the Great Sumatran Fault. Keberadaan jalur sesar aktif pada suatu kawasan berimplikasi pada ancaman bahaya gempa bumi. Kami telah menggunakan data Digital Elevation Model (DEM) dari Shuttle Radar Topography Mission (SRTM) untuk pemetaan jalur-jalur sesar di Pulau Weh. Data DEM yang diproduksi oleh SRTM diekstrak menjadi hillshade dengan memberikan variasi sudut penyinaran matahari dan altitude 45o. Analisis topografi permukaan bumi memberikan penampakan gerusan-gerusan sesar dan rekahan. Selanjutnya kelurusan-kelurusan ditarik secara manual berdasarkan analisis sesar dan rekahan untuk tiap perbedaan sudut elevasi matahari pada hillshade. Kelurusan-kelurusan yang diperoleh dari tiap hillshade kemudian di-overlay. Berdasarkan jenisnya, kelurusan yang dianggap sebagai sesar dan rekahan diinterpretasi dengan memberikan grid 500 x 500 m. Dengan menggunakan metode FFD, didapatkan kelurusan-kelurusan yang berasosiasi dengan struktur atau merupakan refleksi gambaran topografi berupa kelurusan sungai, kelurusan lembah, struktur sesar maupun rekahan, kontak batuan dan kemunculan manifestasi panas bumi. Terdapat empat lokasi yang memiliki nilai anomali densitas kelurusan tinggi. Dominasi kelurusan yang terdapat di Pulau Weh yaitu Barat Laut-Tenggara. Arah dominan ini bersesuaian dengan arah Sesar Sumatera. Weh Island is a volcanic island crossed by the Great Sumatran Fault. Presence of such active fault may trigger seismic hazard on the island. We have applied Digital Elevation Model (DEM) from Shuttle Radar Topography Mission (SRTM) data to delineate fault distribution in Weh Island. The DEM data produced by SRTM were extracted as hillshade using variation of sun irradiation angels and altitude 45 o. Surface topographic analysis provided fractures and faults signatures on the study area. The faults and fractures lineament were drawn manually for each angle on the hillshades. The lineaments for each hillshade were overlaid. Using Fault Fracture Density (FFD) method we found lineaments associated as geological structures reflected from rivers, valleys, faults, fractures, rock contacts, and geothermal manifestations. There are four locations with high density lineaments on the island. The lineaments mostly directed in Northwest-Southeast which is same direction as the Great Sumatran Fault. Keywords: DEM, SRTM, geomorphology, the Great Sumatran Fault.
Playing Gamelan Bonang in the Air: User Requirements for Designing a Digital Musical Instrument for the Malay Bonang

In recent years, computer technologies have been impactful in the design and development of Digital Musical Instruments (DMIs). As music interaction became prominent in the Human-Computer Interaction (HCI) field, emphasis on user requirement upon the design of musical interfaces has also grown since the last decade. Although designing new DMIs is becoming very popular, it is often determined by the designers and often not reflective of users’ needs. In this study, we explored user requirements for the design of a virtual musical instrument of the Malay bonang, an instrument found in the Malay gamelan ensemble. The requirements were elicited from a group of gamelan experts to establish the bonang playing techniques to be mapped to the virtual instrument which we called Air Bonang. Findings revealed that in designing the Air Bonang that is natural and expressive, the fundamental playing techniques of the bonang should be integrated into the system using mid-air interaction. In addition, exploratory techniques might also be integrated into the Air Bonang to leverage musical expression. The outcome of the study proposes design criteria that encompass three aspects of a natural Air Bonang, namely, embodiment, expressiveness, and feedback.
Clinical and imaging markers for the prognosis of acute ischemic stroke

Background and purpose Significant differences in the outcomes observed in patients with acute ischemic stroke (AIS) have led to research investigations for identifying the predictors. In this retrospective study, we aimed to investigate the relationship of different clinical and imaging factors with the prognosis of AIS. Materials and methods All clinical and imaging metrics were compared between the good and poor prognosis groups according to the modified Rankin Scale (mRS) score at 90 days after discharge. Clinical factors included gender, age, NIHSS scores at admission, and other medical history risk factors. Imaging markers included the lesion’s size and location, diffusion, and perfusion metrics of infarction core and peripheral regions, and the state of collateral circulation. Spearman’s correlations were analyzed for age and imaging markers between the different groups. The Chi-square test and Cramer’s V coefficient analysis were performed for gender, collateral circulation status, NIHSS score, and other stroke risk factors. Results A total of 89 patients with AIS were divided into the good (mRS score ≤ 2) and poor prognosis groups (mRS score ≥ 3). There were differences in NIHSS score at the admission; relative MK (rMK), relative MD (rMD), relative CBF (rCBF) of the infarction core; relative mean transit time (rMTT), relative time to peak (rTTP), and relative CBF (rCBF) of peripheral regions; and collateral circulation status between the two groups (p < 0.05). Among them, the rMK of infarction lesions had the strongest correlation with the mRS score at 90 days after discharge (r = 0.545, p < 0.001). Conclusion Perfusion and diffusion metrics could reflect the microstructure and blood flow characteristics of the lesion, which were the key factors for the salvage ability and prognosis of the infarction tissue. The characteristics of the infarction core and peripheral regions have different effects on the outcomes. Diffusion of infarction core has strong relations with the prognosis, whereas the time metrics (MTT, TTP) were more important for peripheral regions. MK had a more significant association with prognosis than MD. These factors were the primary markers influencing the prognosis of cerebral infarction patients.
Assessing non-Markovian dynamics through the moments of Choi state

Non-Markovian effects in an open quantum system dynamics usually manifest backﬂow of information from the environment to the system indicating complete-positive divisibility breaking of the dynamics. We provide a criteria for witnessing such non-Markovian dynamics, exhibiting information backﬂow based on the moments of Choi-matrices. The moment criteria which is determined by the positive semi-deﬁniteness of a matrix does not hold for Choi-state, describing non-Markovian dynamics. We then present some explicit examples in favour of our proposed non-Markovianity detection scheme. Finally, a moment based measure of non-Markovianity for unital dynamics is formulated.
Two-Way Assistant: A Knowledge Distillation Object Detection Method for Remote Sensing Images

Due to resource constraints on edge devices, lightweight detection models are gaining popularity in remote sensing. However, achieving efficient performance with these models is challenging compared with traditional detection models. Knowledge distillation (KD) is a promising solution to this issue. However, previous KD methods in remote sensing often suffer from background noise and fail to address feature disparities among detectors. To address the above issues, we introduce the two-way assistant (TWA) distillation method for remote sensing object detection. TWA comprises two crucial modules: the compression assistant module (CPAM) and the multiscale adaptive assistant module (MAAM). CPAM reduces the background information and category interference by compressing and redistributing teacher model features to the student model. MAAM enhances feature knowledge through multiscale fusion, addressing feature disparities. Through extensive experiments conducted on two distinct types of remote sensing datasets, optical learning, vision and remote sensing laboratory (LEVIR) and SAR SSDD, our TWA demonstrates favorable performance across both single-stage and two-stage detectors. Especially, it achieves a performance of 82.5% (optical LEVIR dataset) and 95.4% (SAR SSDD dataset) in the AP50 metric, superior to existing state-of-the-art methods.
Estudio taxonómico y biogeográfico de la superfamilia helicoidea rafinesque, 1815 (gastropoda: pulmonata: stylommatophora) de la Península Ibérica e Islas Baleares

EL TRABAJO DESARROLLADO HA CONSISTIDO EN EL ESTUDIO TAXONOMICO Y BIOGEOGRAFICO DE LOS MOLUSCOS DE LA SUPERFAMILIA HELICOIDEA PRESENTES EN LA PENINSULA IBERICA E ISLAS BALEARES. SU REALIZACION SE HA BASADO EN LA REUNION Y COMPARACION DE DATOS PROVENIENTES, PRINCIPALMENTE, DE DOS FUENTES: POR UNA PARTE, LOS PROCEDENTES DE LA BIBLIOGRAFIA; POR OTRA, LOS OBTENIDOS TRAS LA RECOLECCION DE MATERIAL BIOLOGICO EN 1051 LOCALIDADES. EL ANALISIS DE ESTOS DATOS HA PERMITIDO ELABORAR LOS CATALOGOS BIBLIOGRAFICO CRITICO, ICONOGRAFICO Y COROLOGICO DE LAS ESPECIES, ASI COMO CARACTERIZAR LOS TAXONES DE NIVEL FAMILIAR, SUBFAMILIAR, GENERICO Y SUBGENERICO, Y, EN MUCHOS CASOS, ESPECIFICO. SE HA ESTUDIADO POR PRIMERA VEZ LA ANATOMIA DE 3 ESPECIES, Y TAMBIEN POR PRIMERA VEZ LA MORFOLOGIA INTERNA DEL PENE DE MUY NUMEROSAS ESPECIES. POR ULTIMO, SE HA REALIZADO LA IDENTIFICACION DE LAS AREAS MALACOGEOGRAFICAS QUE CONCURREN EN LA ZONA DE ESTUDIO. A LA VISTA DE LOS RESULTADOS OBTENIDOS, PROCEDE CONCLUIR QUE LA SUPERFAMILIA HELICOIDEA SE ENCUENTRA REPRESENTADA EN LA PENINSULA IBERICA E ISLAS BALEARES POR 141 ESPECIES QUE SE DISTRIBUYEN EN 48 GENEROS, 9 SUBFAMILIAS Y 3 FAMILIAS. EN EL PRESENTE TRABAJO SE HAN DESCRITO DOS NUEVOS GENEROS DE HYGROMIIDAE, PLENTUISA Y CRYPTOSACCUS, MONOTIPICOS PARA LAS NUEVAS ESPECIES P. VENDIA Y C. ASTURIENSIS. ADEMAS, SE HAN DESCRITO LAS NUEVAS ESPECIES HYGROMIA GOFASI Y THEBA GITTENBERGERI. DE LAS 141 ESPECIES DE HELICOIDEA CONSIDERADAS EXISTENTES EN LA ZONA DE ESTUDIO, 87 SON ENDEMICAS, LO QUE REPRESENTA UN PORCENTAJE DE ENDEMICIDAD DEL 62%. ADEMAS, 16 GENEROS, DE UN TOTAL DE 48 PRESENTES EN LA ZONA DE ESTUDIO, SON EXCLUSIVOS. EN CONSECUENCIA, SE PUEDE CONCLUIR QUE LA PENINSULA IBERICA E ISLAS BALEARES DESTACAN ASI, DESDE EL PUNTO DE VISTA MALACOLOGICO, COMO ZONAS DE ALTO VALOR DE CONSERVACION. EL TRABAJO REALIZADO HA PERMITIDO INCREMENTAR EL ELENCO DE ESPECIES DE VARIAS PROVINCIAS PENINSULARES, CITANDOSE 35 ESPECIES PO
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks

A deep geological repository for radioactive waste, such as Andra’s Cigéo project, requires long-term (persistent) monitoring. To achieve this goal, data from a network of sensors are acquired. This network is subject to deterioration over time due to environmental effects (radioactivity, mechanical deterioration of the cell, etc.), and it is paramount to assess each sensor’s integrity and ensure data consistency to enable the precise monitoring of the facilities. Graph neural networks (GNNs) are suitable for detecting faulty sensors in complex networks because they accurately depict physical phenomena that occur in a system and take the sensor network’s local structure into consideration in the predictions. In this work, we leveraged the availability of the experimental data acquired in Andra’s Underground Research Laboratory (URL) to train a graph neural network for the assessment of data integrity. The experiment considered in this work emulated the thermal loading of a high-level waste (HLW) demonstrator cell (i.e., the heating of the containment cell by nuclear waste). Using real experiment data acquired in Andra’s URL in a deep geological layer was one of the novelties of this work. The used model was a GNN that inputted the temperature field from the sensors (at the current and past steps) and returned the state of each individual sensor, i.e., faulty or not. The other novelty of this work lay in the application of the GraphSAGE model which was modified with elements of the Graph Net framework to detect faulty sensors, with up to half of the sensors in the network being faulty at once. This proportion of faulty sensors was explained by the use of distributed sensors (optic fiber) and the environmental effects on the cell. The GNNs trained on the experimental data were ultimately compared against other standard classification methods (thresholding, artificial neural networks, etc.), which demonstrated their effectiveness in the assessment of data integrity.
GROWTH PERFORMANCE OF CLARIAS GARIEPINUS (BURCHELL, 1822) REARED IN GLASS AQUARIA UNDER DIFFERENT LIGHT CONDITIONS

Growth performance of Clarias gariepinus (Burchell, 1822) reared in glass aquaria under different light conditions was studied from hatching to 75 days post hatching (dph). The objective was to generate baseline data/information on artificial seed production of catfish under different rearing conditions. Eggs of C. gariepinus were hatched at three photoperiods in complete darkness (DD), full illumination (LL) and control 12 h dark and 12 h light (normal) growth conditions. African catfish showed higher survival rates in the dark conditions than in the light conditions. The larvae also showed significantly increased cannibalistic behavior under light condition. Highest survival rate (92.8%) was observed for C. gariepinus that grew under darker condition. The higher activity of C. gariepinus under dark conditions resulted in reduced rates of cannibalism and higher rates of survival than light conditions. The sequence of development and ossification was faster in dark group by a day than in the light and by two days in the control group, whereas light group faster by a day compared to the control group. Some of the organ development and appearance completed within an hour gap and it was difficult to look sequential ontogeny on dark growth conditions. Dark growth conditions may be recommended as a best, effective technique for intensification of production of C. gariepinus, as it improves catfish survival rates.
Deciphering the Role of Post-Translational Modifications and Cellular Location of Hepatitis Delta Virus (HDV) Antigens in HDV-Mediated Liver Damage in Mice

Hepatitis D virus (HDV) infection represents the most severe form of chronic viral hepatitis. We have shown that the delivery of HDV replication-competent genomes to the hepatocytes using adeno-associated virus (AAV-HDV) as gene delivery vehicles offers a unique platform to investigate the molecular aspects of HDV and associated liver damage. For the purpose of this study, we generated HDV genomes modified by site-directed mutagenesis aimed to (i) prevent some post-translational modifications of HDV antigens (HDAgs) such as large-HDAg (L-HDAg) isoprenylation or short-HDAg (S-HDAg) phosphorylation; (ii) alter the localization of HDAgs within the subcellular compartments; and (iii) inhibit the right conformation of the delta ribozyme. First, the different HDV mutants were tested in vitro using plasmid-transfected Huh-7 cells and then in vivo in C57BL/6 mice using AAV vectors. We found that Ser177 phosphorylation and ribozymal activity are essential for HDV replication and HDAg expression. Mutations of the isoprenylation domain prevented the formation of infectious particles and increased cellular toxicity and liver damage. Furthermore, altering HDAg intracellular localization notably decreased viral replication, though liver damage remained unchanged versus normal HDAg distribution. In addition, a mutation in the nuclear export signal impaired the formation of infectious viral particles. These findings contribute valuable insights into the intricate mechanisms of HDV biology and have implications for therapeutic considerations.
Distribution Analysis of Sulphide Mineral (Pyrite) Using Induced Polarization Method in Libureng, Bone, South Sulawesi

Sulphide minerals are any member of a group of compounds of sulphur with one or more metals. Some of these sulphide minerals are economically important. This study used induced polarization method to identify distribution and mineralized zone of sulphide mineral (Pyrite), in Libureng, Bone Regency, South Sulawesi. The data processing yielded resistivity value, percent frequency effect (PPE) value, and metal factor (MF) value which were then used to produce 2-D and 3-D section model. Based on the data interpretation, an anomaly linked to pyrite deposits was seen in four trajectories with resistivity value < = 50, PFE = > 3%, and MF > = 150, deposited in hydrothermal alteration zone, sericite zone.
Overweight and Obesity among Bus Drivers and Conductors in Karaikal , Puducherry : A Cross Sectional Study

Original Research Article Introduction: According to NHFS-4, the number of obese people in India has doubled. Obesity is a major risk factor associated with hypertensions, diabetes mellitus type 2 and other cardiovascular diseases. Work related variables as well as environmental influences may increase the risk of obesity among bus drivers and conductors. Objectives: To estimate the prevalence overweight and obesity among male bus drivers and bus conductors in Karaikal, Puducherry. Methodology: This was a cross sectional descriptive study carried out among bus drivers and conductors working at Karaikal, Puducherry. Data was collected using structured questionnaire by interview method. Height, weight was measured. Body Mass Index (BMI) was calculated. Overweight and obesity was classified based on the WHO Asia Pacific guidelines. Data was analysed using chi square test and p value of <0.05 was considered significant. Results: The prevalence of obesity in our study was 16% and pre obese was 63.26% whereas 7.73% were overweight. Prevalence of overweight and obesity among male bus drivers was found to be high.