Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic Model Associated with Necroptosis in Colorectal Cancer based on Transcriptomic Analysis and Experimental Validation.

PURPOSE Numerous studies have emphasised the importance of necroptosis in the malignant progression of colorectal cancer (CRC). However, whether necroptosis-related genes (NRGs) can be used to predict the prognosis of CRC remains to be revealed. METHODS Patients with CRC were divided into two clusters based on the expression of NRGs, and prognosis was compared between the two clusters. A prognostic model was established based on NRGs, and its predictive efficiency was validated using Kaplan-Meier (K-M) curves, receiver operating characteristic (ROC) curves and a nomogram. Immune infiltration, single-cell and drug sensitivity analyses were used to examine the effects of NRGs on the prognosis of CRC. RESULTS The prognostic model served as a valid and independent predictor of CRC prognosis. Immune infiltration and single-cell analyses revealed that the unique immune microenvironment of CRC was regulated by NRGs. Drug sensitivity analysis showed that patients in the high- and low-risk groups were sensitive to different drugs. In addition, H2BC18 was found to play an important role in regulating the malignant progression of CRC. CONCLUSION This study provides novel insights into precision immunotherapy based on NRGs in CRC. The NRG-based prognostic model may help to identify targeted drugs and develop more effective and individualised treatment strategies for patients with CRC.
Why it’s worth the hassle: The value of in-situ studies when Why it’s worth the hassle: The value of in-situ studies when designing ubicomp. designing ubicomp.

How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context of use. In-situ studies are good at demonstrating how people appropriate technologies in their intended setting, but are expensive and difficult to conduct. Here, we show how they can be used more productively in the design process. A mobile learning device was developed to support teams of students carrying out scientific inquiry in the field. An initial in-situ study showed it was not used in the way envisioned. A contextualized analysis led to a comprehensive understanding of the user experience, usability and context of use, leading to a substantial redesign. A second in-situ study showed a big improvement in device usability and collaborative learning. We discuss the findings and conclude how in-situ studies can play an important role in the design and evaluation of Ubicomp applications and user experiences.
Predictive ability of cognitive flexibility and planning in early mathematical competencies

: It has been shown that early mathematical competencies play an important role in the learning of this discipline and that both cognitive flexibility and planning favor this process. However, most research has related executive functions to general mathematical outcomes, without taking into account that this discipline includes several components that vary in their cognitive complexity. Therefore, the aim of this research was to evaluate the predictive capacity of cognitive flexibility and planning in the logical-relational and numerical mathematical competencies of 106 children in early childhood education in Chilean schools, who were evaluated with two executive tasks and a test of early mathematical competencies. Correlations and multiple linear regression models were used for data analysis. The results showed that cognitive flexibility was a significant predictor of both logical-relational and numerical mathematical competencies, while planning was only a significant predictor of numerical competencies. These results confirm the importance of cognitive flexibility and planning in the development of early mathematical competencies, which could lead to specific interventions on these executive functions and thus favor the learning of mathematics in early education.
In pursuit of culturally relevant indicators of Indigenous wellbeing

ix Glossary . xi Acronyms . xi Words in languages other than English . xiv Publications arising from this thesis . xvii Journal Articles, Reports and Monograph Chapters . xvii Conference abstracts . xvii
Enhancing Long-Term Trend Simulation of Global 2 Tropospheric OH and Its Drivers from 2005-2019: A 3 Synergistic Integration of Model Simulations and Satellite 4 Observations 5

24 The tropospheric hydroxyl radical (TOH) is a key player in regulating oxidation of various compounds in 25 Earth’s atmosphere. Despite its pivotal role, the spatiotemporal distributions of OH are poorly constrained. 26 Past modeling studies suggest that the main drivers of OH, including NO 2 , tropospheric ozone (TO 3 ), and 27 H 2 O(v), have increased TOH globally. However, these findings often offer a global average and may not 28 include more recent changes in diverse compounds emitted on various spatiotemporal scales. Here, we aim 29 to deepen our understanding of global TOH trends for more recent years (2005-2019) at 1×1 degrees. To 30 achieve this, we use satellite observations of HCHO and NO 2 to constrain simulated TOH using a technique 31 based on a Bayesian data fusion method, alongside an interpretable machine learning module named 32 ECCOH, which is integrated into NASA’s GEOS global model. This innovative module helps efficiently 33 predict the convoluted response of TOH to its drivers/proxies. Aura Ozone Monitoring Instrument (OMI) 34 NO 2 observations suggest that the simulation has high biases over biomass burning activities in Africa and 35 Eastern Europe, resulting in overestimation of up to 20% in TOH, regionally. OMI HCHO primarily 36 impacts oceans where TOH linearly correlates with this proxy. Five key parameters including TO 3 , H 2 O(v), 37 NO 2 , HCHO, and stratospheric ozone can collectively explain 65% of variance in TOH trends. The overall 38 trend of TOH influenced by NO 2 remains positive, but it varies greatly because of the differences in the 39 signs of anthropogenic emissions. Over oceans, TOH trends are primarily positive in the northern 40 hemisphere, resulting from the upward trends in HCHO, TO 3 , and H 2 O(v). Using the present framework, 41 we can tap the power of satellites to quickly gain a deeper understanding of simulated TOH trends and 42 biases. 43
Global trends in the research on Legg–Calve–Perthes disease in Web of Science

Background Legg–Calve–Perthes disease (LCPD) is a form of idiopathic femoral head necrosis that can lead to permanent femoral head deformities and premature osteoarthritis in children under the age of 15. Its pathogenesis is utterly and remains to be clarified. Although many research publications on LCPD have emerged during the last few decades, few systematic bibliometric analyses of these articles have been reported. Methods A bibliometric analysis was performed to investigate the development processes and hotspots, as well as the collaboration and influence among countries, institutions, authors, journals, and keywords of papers relevant to LCPD from the Web of Science Core Collection (WoSCC) during the period from 1 January 2000 to 30 June 2023. Results A total of 2,205 researchers from 916 institutions across 53 countries/regions have contributed to 673 papers published in 199 academic journals. The research on LCPD has shown significant fluctuations but a gradual increase in the number of articles published over the last two decades. The United States leads in the number of publications of LCPD, with the Texas Scottish Rite Hospital for Children being the most productive institution. English, as the most widely used language in the world, was undoubtedly the most popular language. Herring JA, who acted as both the corresponding and first author, has contributed to the most co-cited papers published. The most number of LCPD papers are published in the Journal of Pediatric Orthopaedics, whereas the Journal of Bone and Joint Surgery American Volume garnered the highest total citations, indicating the great importance of these two journals in the field of orthopedics. The most frequently used keywords in published articles were related to the symptoms, mechanisms, and prognosis, revealing the research focus of most scholars. Conclusion Our research described the development trends and hotspots in the research field of LCPD and will help researchers make better decisions.
Operation Condition Assessment for Elevators Based on Deep Siamese Network and T-S Semi-Supervision Model

As a significant vertical means of transportation in daily life, the elevator’s operation condition and performance level are closely related to the passengers’ safety. However, there still lacks systematic and advanced method for the condition evaluation at present. Therefore, a semi-supervised two-stage deep learning (DL) network composed of feature selector and classifier is proposed to implement elevator condition assessment in this article. First, through the analysis of elevator mechanism and structure, vibration and noise indicators are selected as evaluation indexes to evaluate the elevator’s state during operation process. Second, a comparative experiment is designed to collect signal data that reflect different performance levels, and the time–frequency feature parameters that can comprehensively provide the operation process information are extracted from the indicators’ data. In addition, with purpose of carrying out effective space conversion and explore the complex relationship between features and categories, a deep Siamese multihead self-attention network is established to spatially map the extracted feature data, contributing to the clustering effect of data in high-dimensional space. To deal with the difficult access to label data in the actual assessment process, the teacher–student (T-S) network is adopted to carry out the semi-supervised training through the mixture of labeled data obtained from designed experiment and unlabeled data. Moreover, the Soft-match is introduced to address the imbalance between quantity and quality of pseudolabels in semi-supervised training. Finally, different comparative experiments and ablation experiment are conducted to verify the effectiveness and feasibility of the proposed method on the test dataset.
Comparing Topological Partitioning Methods for District Metered Areas in the Water Distribution Network

This paper presents a comparative analysis of three partitioning methods, including Fast Greedy, Random Walk, and Metis, which are commonly used to establish the district metered areas (DMAs) in water distribution systems. The performance of the partitioning methods is compared using a spectrum of evaluation indicators, including modularity, conductance, density, expansion, cuts, and communication volume, which measure different topological characteristics of the complex network. A complex water distribution network EXNET is used for comparison considering two cases, i.e., unweighted and weighted edges, where the weights are represented by the demands. The results obtained from the case study network show that the Fast Greedy has a good overall performance. Random Walk can obtain the relative small cut edges, but severely sacrifice the balance of the partitions, in particular when the number of partitions is small. The Metis method has good performance on balancing the size of the clusters. The Fast Greedy method is more effective in the weighted graph partitioning. This study provides an insight for the application of the topology-based partitioning methods to establish district metered areas in a water distribution network.
Computer-Controlled Automated Rain Sampler (CCARS) for Rainfall Measurement and Sequential Sampling

Abstract The Computer-Controlled Automated Rain Sampler (CCARS) is a combination rain gage and sequential sampler for precipitation chemistry measurements. The primary objectives of the design are low cost, versatility of operational mode, and remote siting using battery power. The three major components of the device are the measuring valve (rain gage), sequential distribution valve, and onboard computer that also serves as a controller and data recorder. The measuring valve uses an electromagnetically operated plunger and optical sensors to divide rain events into adjustable rainfall increments (nominally 0.01 in.). The distribution valve, using a stepping motor and a rotating channeled gear, delivers programmed volumes to nine sequential stages. The computer records rain and stage increment timing and can be programmed to sample on a time or volume basis.
Missense mutation of angiotensin converting enzyme gene in an Alzheimer’s disease patient: a case report

Alzheimer’s disease (AD) is the most common type of cognitive impairment in the elderly. In this report, we presented a case of a 52-year-old woman with rapid disease progression within 6 months. She was diagnosed with mild dementia according to the clinical symptoms and neuropsychological assessment results. Based on the results of neuropathological proteins in cerebrospinal fluid, cranial magnetic resonance imaging, and positron emission tomography/computed tomography, the patient showed the presence of β amyloid deposition, pathologic tau along with neurodegeneration [A+T+(N+)], indicative of AD. Whole exome sequencing revealed a heterozygous C-to-T missense mutation of nucleotide 3,755 (c.3755C > T) in exon 25 of the angiotensin converting enzyme (ACE) gene on chromosome 17q23 (rs762056936).
Experimental Study on The Capacity Of Z-Brace and X-Brace Cold-Formed Steel Wall Panel

Awaludin et al. created an anti-earthquake temporary shelter called RISBARI (Rumah Instan Baja Ringan/Light Steel Instant House), featuring an X-shaped strap-braced wall system using cold-formed steel as its primary structure. A similar temporary shelter (hunian sementara/huntara) was developed by Biru Bumi Hijau using Z-shaped wall bracing. While experimental research on the lateral strength of cold-formed steel wall panels with X-brace bracing, such as in RISBARI, has been conducted extensively, there has been limited in-depth study on Biru Bumi Hijau's huntara. Hence, this research aimed to identify the load capacity, stiffness, and ductility of both bracing configurations on lateral strength using cold-formed steel wall panels. This study used an experimental method through the monotonic static load in the laboratory. The test results were analyzed with One-way ANOVA. The load capacity, stiffness, and ductility of the X-brace panel increased by 201%, 4452%, and 105%, respectively. In contrast, the load capacity, stiffness, and ductility of the Z-brace panel increased by 201%, 4253%, and 156%. The bracing capacity on both was not directly proportional since both test objects had different configuration structures, although they had equalized length and width.
Water And The Mountains: Maya Water Mangement At Caracol, Belize

Water management techniques in the Southern Maya Lowlands are both regionally diverse and site specific. This thesis examines the water management strategies of the Classic Period Maya at the site of Caracol, Belize. While it is likely that elites at Caracol controlled the redistribution of resources, i.e. craft and agricultural products, it is probable that the production of agricultural resources and the maintenance of water resource acquisition took place on a more local level. In order to test this hypothesis, a sample of five reservoirs were examined through original research – and situated in conjunction with past settlement studies to determine the water storage capacity and likely function of different water management features throughout the built environment of Caracol. As a result, this thesis argues that the placement and construction of water management features i.e., reservoirs at the site of Caracol, Belize are indicative of specific landscape patterns which are expressed by a distinct vernacular construction style and are also a reflection of the socio-political organization present within the site during the Late Classic Period.
BATS IN SETTLEMENTS FROM AN ATLANTIC FOREST AREA IN NORTHEASTERN BRAZIL

Bats are key components of ecological networks, and studies in degraded areas are especially important to understand the impact of the human settlements on bats communities. Here, we surveyed the bat fauna in Guaribas Biological Reserve, a protected area in the Atlantic Forest in Paraiba state, northeastern Brazil, and compared it with the bat fauna that occupies the nearby villages. In the villages, we recorded 650 individuals from 14 species, while 1,127 individuals from 20 species were recorded in the Reserve. Diversity estimation pointed out 19 species for the settlements, and 22 for the Reserve. A Bray-Curtis/Sorensen similarity cluster analysis informed that the Reserve areas and the villages form two distinct groups. Additionally, a Wilcox test pointed out that both areas have significantly distinct abundances and species richnesses. Only a subset of the assemblage, mainly formed by generalist or opportunist species, occupies the villages, exploring resources that are offered by human activities.
SLoN: a spiking looming perception network exploiting neural encoding and processing in ON/OFF channels

Looming perception, the ability to sense approaching objects, is crucial for the survival of humans and animals. After hundreds of millions of years of evolutionary development, biological entities have evolved efficient and robust looming perception visual systems. However, current artificial vision systems fall short of such capabilities. In this study, we propose a novel spiking neural network for looming perception that mimics biological vision to communicate motion information through action potentials or spikes, providing a more realistic approach than previous artificial neural networks based on sum-then-activate operations. The proposed spiking looming perception network (SLoN) comprises three core components. Neural encoding, known as phase coding, transforms video signals into spike trains, introducing the concept of phase delay to depict the spatial-temporal competition between phasic excitatory and inhibitory signals shaping looming selectivity. To align with biological substrates where visual signals are bifurcated into parallel ON/OFF channels encoding brightness increments and decrements separately to achieve specific selectivity to ON/OFF-contrast stimuli, we implement eccentric down-sampling at the entrance of ON/OFF channels, mimicking the foveal region of the mammalian receptive field with higher acuity to motion, computationally modeled with a leaky integrate-and-fire (LIF) neuronal network. The SLoN model is deliberately tested under various visual collision scenarios, ranging from synthetic to real-world stimuli. A notable achievement is that the SLoN selectively spikes for looming features concealed in visual streams against other categories of movements, including translating, receding, grating, and near misses, demonstrating robust selectivity in line with biological principles. Additionally, the efficacy of the ON/OFF channels, the phase coding with delay, and the eccentric visual processing are further investigated to demonstrate their effectiveness in looming perception. The cornerstone of this study rests upon showcasing a new paradigm for looming perception that is more biologically plausible in light of biological motion perception.
High-Precision Calculation Using the Method of Analytical Regularization for the Cut-Off Wave Numbers for Waveguides of Arbitrary Cross Sections with Inner Conductors

A method for the accurate calculation of the cut-off wavenumbers of a waveguide with an arbitrary cross section and a number of inner conductors is demonstrated. Concepts of integral and infinite-matrix (summation) operator-valued functions depending nonlinearly on the frequency spectral parameter provide a secure basis for formulating the spectral problem, and the Method of Analytical Regularization is employed to implement an effective algorithm. The algorithm is based on a mathematically rigorous solution of the homogeneous Dirichlet problem for the Helmholtz equation in the interior of the waveguide, excluding the regions occupied by the inner conductor boundaries. A highly efficient method of calculating the cut-off wavenumbers and the corresponding non-trivial solutions representing the modal distribution is developed. The mathematical correctness of the problem statement, the method, and the ability to calculate the cut-off wavenumbers with any prescribed and proven accuracy provide a secure basis for treating these as “benchmark solutions”. In this paper, we use this new approach to validate previously obtained results against our benchmark solutions. Furthermore, we demonstrate its universality in solving some new problems, which are barely accessible by existing methods.
The Effect of Digital Marketing on Purchase Loyalty with Customer Satisfaction as an Intervening Variable on Products Starbucks in Sukoharjo

The purpose of this study was to determine the effect of digital marketing on purchase loyalty with customer satisfaction as an intervening variable on Starbucks products in Sukoharjo. This research method is quantitative. The population in this study was Starbuck Coffee consumers in Sukoharjo. The sampling technique for this research is nonprobability sampling. The sample in this study amounted to 100 respondents. The data analysis technique in this study uses Partial Least Square (PLS) using the help of SMARTPLS Software. The results of this study are digital marketing has a significant positive effect on purchase loyalty. Digital marketing has a significant positive effect on customer satisfaction. Customer satisfaction has a significant positive effect on digital marketing. The conclusion of this study is that digital marketing affects purchase loyalty with customer satisfaction as an intervening variable on Starbucks products in Sukoharjo
Transmission and infection risk of COVID-19 when people cough in an elevator

People in cities use elevators daily. With the COVID-19 pandemic, there are more worries about elevator safety, since elevators are often small and crowded. This study used a proven CFD model to see how the virus could spread in elevators. We simulated five people taking in an elevator for two minutes and analyzed the effect of different factors on the amount of virus that could be inhaled, such as the infected person's location, the standing positions of the persons, and the air flow rate. We found that the position of the infected person and the direction they stood greatly impacted virus transmission in the elevator. The use of mechanical ventilation with a flow rate of 30 ACH (air changes per hour) was effective in reducing the risk of infection. In situations where the air flow rate was 3 ACH, we found that the highest number of inhaled virus copies could range from 237 to 1186. However, with a flow rate of 30 ACH, the highest number was reduced to 153 to 509.
Extreme set-up and run-up on steep cliffs (Banneg Island, France)

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Extreme set-up and run-up on steep cliffs (Banneg Island, France) Fabrice Ardhuin, Lucia Pineau-Guillou, Bernard Fichaut, Serge Suanez, David Corman, Jean-François Filipot