Miracle-dz/UniFAR-FTUs huggingface dataset:
Laparoscopic radical surgery for locally advanced T4 transverse colon cancer and prognostic factors analysis: Evidence from multi-center databases

The safety and efficacies of laparoscopic radical procedures are still controversial for locally advanced pathological T4 (pT4) TCC (transverse colon cancer). Therefore, the aim of this study is to evaluate the oncologic and perioperative outcomes and to recognize the prognostic factors in radical resection for pT4 TCC derived from multi-center databases. 314 patients with TCC who underwent radical resection between January 2004 and May 2017, including 139 laparoscopic resections and 175 open resections, were extracted from multicenter databases. Oncological as well as perioperative outcomes were investigated. The baseline characteristics of the 2 groups did not differ significantly. Nevertheless, the laparoscopic technique was found to be linked with a significantly longer duration of surgery (208.96 vs 172.89 minutes, P = .044) and a significantly shorter postoperative hospital stay (12.23 vs 14.48 days, P = .014) when compared to the conventional open approach. In terms of oncological outcomes, lymph node resection (16.10 vs 13.66, P = .886), 5-year overall survival (84.7% vs 82.7%, P = .393), and disease-free survival (82.7% vs 83.9%, P = .803) were similar between the 2 approaches. Based on multivariate analysis, it was determined that differentiation and N classification were both independent prognostic factors for overall survival. However, it was found that only N classification was an independent prognostic factor for disease-free survival. These findings underscore the significance of differentiation and N classification as key determinants of patient outcomes in this context. Overall, the laparoscopic approach may offer advantages in terms of shorter hospital stays, while maintaining comparable oncological outcomes. Laparoscopic radical procedure can gain a couple of short-term benefits without reducing long-term oncological survival for patients with pT4 TCC.
DO ESTUDO DO MEIO AO TURISMO GEOEDUCATIVO: RENOVANDO AS PRÁTICAS PEDAGÓGICAS EM GEOGRAFIA ENVIRONMENT STUDY AS GEOEDUCATIVO TOURISM: RENEWINA THE PRATICAL PEDAGOGICAL IN GEOFRAPHY

The present article develops a reflection regarding the Environment Study, while organized methodology of the lessons of field in Geography. It works with the conceptual demonstration of its two natures. The first one directly searches of empirical knowledge. Open exterior reality to the classroom. However, submitted to the limits of a limited scientific action to the exclusive confirmation of what he is being studied in the interior of the school. The second opened the utopia of re-create the pertaining to school methodologies from this type of study. In the final part of this article, it is revised at the direction of in the update practical them of an educative tourism, accessible to the school contemporary and as better conditions to reconcile the two natures in question.
Investigation on the Utilization of Millimeter-Wave Radars for Ocean Wave Monitoring

The feasibility of using millimeter-wave radars for wave observations was investigated in this study. The radars used in this study operate at a center frequency of 77.572 GHz. To investigate the feasibility of wave observations and extract one-dimensional and two-dimensional wave spectra, arrays consisting of multiple radar units were deployed for observations in both laboratory and field environments. Based on the data measured with the millimeter-wave radars, one-dimensional wave spectra and two-dimensional wave directional spectra were evaluated using the periodogram method and the Bayesian directional spectrum estimation method (BDM), respectively. Meanwhile, wave parameters such as the significant wave height, wave period, and wave direction were also calculated. Via comparative experiments with a capacitive wave height meter in a wave tank and RADAC’s WG5-HT-CP radar in an offshore field, the viability of using millimeter-wave radars to observe water waves was validated. The results indicate that the one-dimensional wave spectra measured with the millimeter-wave radars were consistent with those measured with the mature commercial capacitive wave height meter and the WG5-HT-CP wave radar. Via wave direction measurement experiments conducted in a wave tank and offshore environment, it is evident that the wave directions retrieved with the millimeter-wave radars were in good alignment with the actual wave directions.
Craniofacial morphology in Obstructive Sleep Apnea patients

Background To evaluate the correlation between cephalometric skeletal parameters and Obstructive Sleep Apnea syndrome (OSAs) severity, in adult patients with OSAs. Material and Methods One hundred patients (94 males,6 females mean age 59,3) with diagnosis of OSAs were retrospectively enrolled. Each patient received Home Sleep Apnea Testing (HSAT) and latero-lateral radiograph. Eight cephalometric parameters (cranial deflection angle, saddle angle, articular angle, divergence angle, cranial base angle, skull base length, mandibular length, maxilla length) were analyzed and then related to Apnea/Hypopnea Index (AHI) and to the Oxygen Desaturation Index (ODI), recorded by HSAT. A Spearman’s rho correlation test between cephalometric measurements and HSAT indices was performed. Statistical significance was set at p< 0.05. Results A negative statistically significant correlation was found between mandibular length (Condilion-Gnathion distance) and AHI (rho= -0,2022; p<0,05) and between maxilla length (Ans-Pns) and AHI (rho= -0,2984; p<0,01) and ODI (rho= -0,2443; p<0,05). A statistically significant correlation was also observed between the divergence angle (S-N^Go-Me) and AHI (rho=0,2263; p<0,05) and between cranial deflection angle (Fh^NBa) and AHI (rho=0,2212; p<0,05) and ODI (rho=0,1970; p<0,05). Conclusions The OSAs severity may be related to certain predisposing features in craniofacial morphology, such as maxillary and mandibular length, divergence and cranial deflection. Key words:OSAs, Home Sleep Apnea Testing, AHI, ODI, Cephalometry, Airway.
Evolution of the offshore western Gulf of Corinth

The young Gulf of Corinth rift in central Greece is an ideal place to study processes occurring during the initiation and early stages of continental extension. At the east end of the 100-km–long E-W rift, Holocene extension on N-dipping faults equates to geodetic extension rates. At the western end, however, estimated extension rates on N-dipping onshore faults account for only 20%–40% of the geodetically measured rates (10–15 mm/yr). We use high-quality, multichannel, seismic reflection and swath bathymetry data to investigate the tectonics of the western Gulf and quantify the contribution of offshore fault activity toward total-rift extension. Five major offshore faults generate the variable basement topography, and a ca. 0.4-Ma unconformity separates stratigraphy into two main packages. Basin-fill geometry indicates that during the early stages of subsidence of the offshore western Gulf, S-dipping faults were the dominant border-fault structure. This is still the case at the western end of the western Gulf; however, elsewhere, N-dipping faults on the south margin are now relatively more dominant and cause stratigraphy to tilt south. The temporally and spatially varying rift structure contrasts with the simple, consistently N-dipping, border-fault, half-graben geometry of the east Gulf of Corinth. Combined west Gulf offshore and onshore Holocene fault extension rates total 5–14.5 mm/yr, within the range calculated geodetically, and render enhanced slip on a low-angle detachment surface beneath the western Gulf unnecessary.
Active displacement on the Calaveras fault zone at Hollister, California

The Calaveras fault zone, which is a major branch of the San Andreas fault system in northern California, passes through the City of Hollister 160 km (100 miles) southeast of San Francisco. Active fault displacement (fault creep slippage) has occurred in and near Hollister along a fault trace within the Calaveras fault zone. Various man-made structures crossing the fault trace have been deformed and gradually offset in a right-lateral sense. The amount of offset varies directly with age of the structure. The maximum offset is 33 cm (13 in) of a sidewalk constructed in the period 1909 to 1914. Offsets on dated structures indicate displacement rates of approximately 2 mm/yr (0.08 in/yr) from 1909 to 1925 and 6 mm/yr (0.24 in/yr) from 1925 to 1967. Data obtained from periodic measurement of specially designed survey lines and instruments have indicated a displacement rate of 9 mm/yr (0.4 in/yr) since May 1967. Displacements of the survey lines are not associated with local earthquake events. Rates of active fault displacement vary with time and position along the Calaveras and San Andreas fault zones in the Hollister area. The pattern of this variation suggests that active displacement on the San Andreas fault zone may be transferring northeastward to the Calaveras fault zone.
Pan-Cancer Profiling of Intron Retention and Its Clinical Significance in Diagnosis and Prognosis

Simple Summary Alternative splicing generates transcripts that can promote tumorigenesis, but intron retention (IR), a form of alternative splicing, remains understudied. We investigated the role of IR in tumorigenesis and its potential clinical applications at the pan-cancer level. We identified IR events from The Cancer Genome Atlas (TCGA) that differ between tumor and normal samples, as well as IR events associated with patient survival. These IR events may modulate the expression of host genes, including those that play a role in cancer biology. For example, we experimentally validated a novel IR event within the STN1 5′UTR. The excellent performance of IR-based diagnostic and prognostic models and their biological importance in cancer suggest that IR is a potential biomarker and drug target. Abstract Alternative splicing can produce transcripts that affect cancer development and thus shows potential for cancer diagnosis and treatment. However, intron retention (IR), a type of alternative splicing, has been studied less in cancer biology research. Here, we generated a pan-cancer IR landscape for more than 10,000 samples across 33 cancer types from The Cancer Genome Atlas (TCGA). We characterized differentially retained introns between tumor and normal samples and identified retained introns associated with survival. We discovered 988 differentially retained introns in 14 cancers, some of which demonstrated diagnostic potential in multiple cancer types. We also inferred a large number of prognosis-related introns in 33 cancer types, and the associated genes included well-known cancer hallmarks such as angiogenesis, metastasis, and DNA mutations. Notably, we discovered a novel intron retention inside the 5′UTR of STN1 that is associated with the survival of lung cancer patients. The retained intron reduces translation efficiency by producing upstream open reading frames (uORFs) and thereby inhibits colony formation and cell migration of lung cancer cells. Besides, the IR-based prognostic model achieved good stratification in certain cancers, as illustrated in acute myeloid leukemia. Taken together, we performed a comprehensive IR survey at a pan-cancer level, and the results implied that IR has the potential to be diagnostic and prognostic cancer biomarkers, as well as new drug targets.
Differential Equation-Informed Neural Networks for State-of-Charge Estimation

State-of-charge (SOC) estimation is crucial for improving the safety, reliability, and performance of the battery. Neural networks-based methods for battery SOC estimation have received extensive attention due to the flexibility and applicability. However, owing to complicated electrochemical dynamics and multiphysics coupling, a trivial, black-box emulation of batteries that senses only voltage, current, and surface temperature obviously cannot result in high-performance SOC estimation. To address this problem, this article proposes a class of differential equation-informed neural networks (DENNs) including differential equation-informed multilayer perception (DE-MLP), differential equation-informed recurrent neural network (DE-RNN), and differential equation-informed long short-term memory (DE-LSTM), to estimate battery SOC. In the proposed methods, the underlying physical laws in the form of the differential equation are embedded in the training of neural networks, such that the network parameters are updated toward optimal faster. We also implement an inverse problem in DENNs, which simultaneously estimates the unknown parameters of the differential equation and network parameters. In addition, the approximation theory and error analysis for DENNs are provided. The experiments in this article are performed in real datasets, and the results illustrate the effectiveness of the proposed methods under different working conditions. Compared with the traditional neural networks, the proposed DENNs achieve more stable and accurate SOC estimation performance.
Niche shifts over spread of a biological invasion: Unveiling the role of changing habitat preference and density‐dependence

Anticipating the ultimate fraction of a landscape that might be susceptible to invasion is challenging as several species are able to expand the range of environmental conditions used over invasion. Despite its relevance, the more proximate processes underlying observed shifts are not sufficiently understood. Habitat selection theory predicts that as population density increases, individuals start using sub‐optimal resources to compensate for the limitation of the preferred ones. However, niche shifts might also occur as result of changes in habitat preferences over time. Here, we tested these alternative hypotheses by investigating nesting resource use and selection over a biological invasion and the relative effect of density‐dependence on such patterns.
The Paleozoic world: Continental flooding, hypsometry, and sea level

Absolute amplitudes of Paleozoic sea-level fluctuations are poorly known: two major curves show eustatic maxima of +300 m (Vail et al. 1977) and +600 m (Hallam 1984). Based on analysis of the flooding records of thirteen Paleozoic landmasses, the authors estimate that sea-level elevations were substantially lower than previously thought, ca. 50--220 m for most of the Paleozoic. The analysis also shows that: (1) small continents are inherently more floodable than large continents, (2) there is no difference in mean flooding of continents of a given size between the Early and Late Paleozoic, and (3) reduced global flooding during the Late Paleozoic is primarily attributable to the existence of a few large continents, rather than many small ones as during the Early Paleozoic. Global sea-level trends reflect the division of the Paleozoic into two geotectonic subcycles comprising the Cambro-Silurian (terminated by the Taconic/Caledonian Orogeny). Deviations of individual continents from the mean global curve are due to changes in hypsometry associated with tectonic/epeirogenic events. For example, a major Early Silurian regression on Laurentia resulted from the Taconic Orogeny, while large Early Ordovician and Middle-Late Devonian regressions on Gondwana are associated with rifting of the North China and South China/Indochina blocks.
Offensive Language Detection on Online Social Networks using Hybrid Deep Learning Architecture

—In the digital era, online social networks (OSNs) have revolutionized communication, creating spaces for vibrant public discourse. However, these platforms also harbor offensive language that can proliferates hate speech, cyberbullying, and discrimination, significantly undermining the quality of online interactions and posing severe social implications. This research paper introduces a sophisticated approach to offensive language detection on OSNs, employing a novel Hybrid Deep Learning Architecture (HDLA). The urgency of addressing offensive content is juxtaposed with the challenges inherent in accurately identifying nuanced communications, thus necessitating an advanced model that transcends the limitations of traditional natural language processing techniques. The proposed HDLA model synergistically integrates Convolutional Neural Networks (CNNs) with Long Short-Term Memory (LSTM) networks, capitalizing on the strengths of both methodologies. While the CNN component excels in the hierarchical extraction of spatial features within text data, identifying offensive patterns often concealed in the structural nuances, the LSTM network, adept in processing sequential data, captures the contextual dependencies in user posts over time. This duality ensures a comprehensive analysis of complex linguistic constructs, enhancing the detection accuracy for both overt and covert offensive content. Our research meticulously evaluates the HDLA model using extensive, multi-source datasets reflective of diverse OSN environments, establishing benchmarks against prevailing deep learning models. Results indicate a substantial improvement in precision, recall, and F1-score, demonstrating the model's efficacy in identifying offensive language amidst varying degrees of subtlety and complexity. Furthermore, the model maintains high interpretability, providing insights into the intricate mechanisms of offensive content propagation. Our findings underscore the potential of HDLA in fostering healthier online communities by efficiently curating digital content, thereby upholding the integrity of digital communication spaces.
Reduction of Interlayer Interaction in Multilayer Stacking Graphene with Carbon Nanotube Insertion: Insights from Experiment and Simulation

The creation of multilayer graphene (Gr), while preserving the brilliant properties of monolayer Gr derived from its unique band structure, can expand the application field of Gr to the macroscale. However, the energy-favorable AB stacking structure in the multilayer Gr induces a strong interlayer interaction and alters the band structure. Consequently, the intrinsic properties of each monolayer are degraded. In this work, we insert carbon nanotubes (CNTs) as nanospacers to modulate the microstructure of multilayer stacking Gr. Nanospacers can increase the interlayer distance and reduce the interlayer interaction. The Gr/CNT stacking structure is experimentally fabricated using a dry transfer method in a layer-by-layer manner. Raman spectroscopy verifies the reduction in the interlayer interaction within the stacking structure. Atomic force microscopy shows an increase in the interlayer distance, which can explain the weakening of the interlayer interactions. The microstructure of the stacked Gr and CNTs is studied by molecular dynamics simulation to systematically investigate the effect of CNT insertion. We found that the distribution distance, size, and arrangement of the CNT can modulate the interlayer distance. These results will help us to understand and improve the properties of the composite systems consisting of Gr and CNTs.
Elucidation of Potent Inhibitors from Siddha Herbal Drug- Visha Jura Kudineer (VJK) Against RNA-Dependent RNA Polymerase, Dengue Viral Protein: An In-Silico Approach

: The ancient traditional medicines are actively involved in therapeutics, especially in Siddha. In a recent past, dengue fever causes a significant impact to mankind all around the world. This study reports that the active biomolecules present in Siddha herbal can be used to ameliorate mosquito-borne viral infection. Visha Jura Kudineer (VJK) is a potent Siddha formulation prepared by 13 active herbs which has antiviral properties used to treat viral fevers. Molecular docking is an effective preliminary way to identify the activity of biomolecules against the protein of interest and studying its inhibitory function. This study mentioned the biomolecules present in VJK that was used to dock against Dengue Virus NS5 RNA-dependent RNA polymerase protein structure through Auto Dock software. The binding free energy obtained while docking for the compounds such as Cymol, Piperidine, Kaempferol, Ellagic acid, Andrographolide, Vasicoline, Glycyrrhetic acid, Withanolide are - 4.38 Kcal/mol, - 4.48 Kcal/mol, -6.17 Kcal/mol, -4.79 Kcal/mol, -5.67 Kcal/mol, -6.04 Kcal/mol, -7.25 Kcal/mol, -5.20 Kcal/mol, respectively. These findings confirm that VJK, Siddha drug may have possible beneficial effects in the treatment and management of Dengue. Further, wet lab assessments of VJK drug and its active mechanism against dengue viral fever yet to explore in future.
Magma chamber model of Batur caldera, Bali, Indonesia: Compositional variation of two facies, large-volume dacitic ignimbrites

DOI:10.17014/ijog.2. 2.111- 124 Batur is one of the finest known calderas on Earth, and is the source of at least two major ignimbrite eruptions with a combined volume of some 84 km3 and 19 km3. These ignimbrites have a similar compositions, raising the question of whether they are geneticaly related. The Batur Ignimbrite-1 (BI-1) is crystal poor, containing rhyodacitic (68 - 70wt % SiO2), white to grey pumices and partly welded and unwelded. The overlying Batur Ignimbrite-2 (BI-2) is a homogeneous grey to black dacitic pumices (64 - 66 wt % SiO2), unwelded and densely welded (40 - 60% vesicularity), crystal and lithic rich. Phase equilibria indicate that the Batur magma equilibrated at temperatures of 1100 - 1300oC with melt water contents of 3 - 6 wt%. The post-eruptive Batur magma was cooler ( 6 wt % H2O). A pressure of 20 kbar is infered from mineral barometry for the Batur magma chamber. Magmatic chamber model is one in which crystals and melt separate from a convecting Batur magma by density differences, resulting in a stratified magma chamber with a homogeneous central zone, a crystal-rich accumulation zone near the walls or base, and a buoyant, melt-rich zone near the top. This is consistent with the estimated magma temperatures and densities: the pre-eruptive BI-1 magma was hoter (1300oC) and more volatile rich (6 wt % H2O) with density 2.25 g/cm3 than the BI-2 magma (1200oC; 4 wt % H2O) in density was higher (2.50 g/cm3). Batur melt characteristics and intensive parameters are consistent with a volatile oversaturation-driven eruption. However, the higher H2O content, high viscosity and low crystal content of the BI-1 magma imply an external eruption trigger.