Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review of Scheduling Strategies for Radiotherapy and Immune Checkpoint Inhibition in Locally Advanced Rectal Cancer

ABSTRACT Colorectal cancer (CRC) is the third most common malignancy across the globe and, despite advances in treatment strategies, survival rates remain low. Rectal cancer (RC) accounts for most of these cases, and traditional management strategies for advanced disease include total neoadjuvant therapy (TNT) with chemoradiotherapy followed by curative surgery. Unfortunately, approximately 10–15% of patients have no response to treatment or have recurrence at a short interval following radiotherapy. The introduction of immunotherapy in the form of immune checkpoint blockade (ICB) in metastatic colorectal cancer has improved clinical outcomes, yet most patients with RC present with microsatellite stable disease, which lacks the immune-rich microenvironment where ICB is most effective. There is evidence that combining radiotherapy with ICB can unlock the mechanisms that drive resistance in patients; however, the sequencing of these therapies is still debated. This review offers a comprehensive overview of clinical trials and preclinical models that use radiotherapy–immunotherapy combinations in RC in an attempt to extrapolate the ideal sequencing of the two treatment modalities. The results highlight the dearth of evidence to answer the question of whether ICB should be given before, during, or after radiotherapy, yet it is suggested that improving the relevance of our preclinical models will provide a platform with higher translational value and will lead to appropriate clinical trial designs.
The Effect of Compensation and Leadership Style on Turnover Intention with Work Motivation as Intervening Variable at PNM Mekaar Regional Mojokerto

This research investigates the factors affecting turnover intention at PNM Mekaar Regional Mojokerto. Methods of data collection using questionnaires and interviews. We collect data from a sample of 243 respondents. Using the AMOS application, we perform statistical tests using Structural Equation Modeling (SEM). The results reveal that compensation and leadership style positively and significantly influence work motivation; however, they demonstrate a negative and significant influence on turnover intention. Additionally, work motivation does not considerably affect turnover intention. Furthermore, the mediating role of work motivation in the relationship between compensation, leadership style, and turnover intention is nonexistent
Development of a correction approach for future precipitation changes simulated by General Circulation Models

Producing reliable estimates of changes in precipitation at local- and regional-scales remains an important challenge in climate change science. Statistical downscaling methods are often utilised to bridge the gap between the coarse resolution of General Circulation Models (GCMs) and the higher-resolutions at which information is required by the majority of end users. However, the skill of GCM precipitation, particularly in simulating temporal variability, is not fully understood and statistical downscaling typically adopts a ‘Perfect-Prog’ (short for perfect prognosis) approach in which the derivation of high-resolution precipitation projections is based on real world statistical relationships between large-scale atmospheric ‘predictors’ and local-scale precipitation. Here, a ‘nudged’ simulation of the ECHAM5 GCM is conducted in which the large-scale climatic state is forced towards historical observations of large-scale circulation and temperature for the period 1958-2001. By comparing simulated and observed precipitation it is possible to, for the first time, quantify GCM skill in simulating temporal variability of precipitation. Correlation between simulated and observed monthly mean precipitation is shown to be as strong as 0.8-0.9 in many parts of Europe, North America and Australia. A nudged simulation permits the development of an alternative approach to statistical downscaling, known as Model Output Statistics (MOS), to correct precipitation as simulated by ECHAM5. It is also shown that MOS correction offers greater skill than Perfect-Prog methods when estimating local-scale monthly mean precipitation. The strongest-performing MOS models are applied to ECHAM5 climate change simulations and are shown to produce high-resolution precipitation projections that support those of RCM simulations. The potential for extending the MOS approach to daily precipitation is also assessed, with recommendations made for further research and application.
The Effect of SERCA Activation on Functional Characteristics and Signaling of Rat Soleus Muscle upon 7 Days of Unloading

Skeletal muscle abnormalities and atrophy during unloading are accompanied by the accumulation of excess calcium in the sarcoplasm. We hypothesized that calcium accumulation may occur, among other mechanisms, due to the inhibition of sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) activity. Consequently, the use of the SERCA activator will reduce the level of calcium in the sarcoplasm and prevent the negative consequences of muscle unloading. Wistar rats were randomly assigned into one of three groups (eight rats per group): control rats with placebo (C), 7 days of unloading/hindlimb suspension with placebo (7HS), and 7 days of unloading treated with SERCA activator CDN1163 (7HSC). After seven days of unloading the soleus muscle, the 7HS group displayed increased fatigue in the ex vivo test, a significant increase in the level of calcium-dependent CaMK II phosphorylation and the level of tropomyosin oxidation, as well as a decrease in the content of mitochondrial DNA and protein, slow-type myosin mRNA, and the percentage of slow-type muscle fibers. All of these changes were prevented in the 7HSC group. Moreover, treatment with CDN1163 blocked a decrease in the phosphorylation of p70S6k, an increase in eEF2 phosphorylation, and an increase in MuRF-1 mRNA expression. Nevertheless, there were no differences in the degree of fast and slow muscle fiber atrophy between the 7HS and 7HSC groups. Conclusion: SERCA activation during 7 days of unloading prevented an increase in soleus fatigue, the decrease of slow-type myosin, mitochondrial markers, and markers of calcium homeostasis but had no effect on muscle atrophy.
Analysis of Management Overconfidence on Earnings Management in Non-Financial Companies Listed on the IDX

The aim of this study is how to analyze management overconfidence in earnings management in IDX-registered non-financial companies from 2016 to 2020. Revenue management Non-financial companies BUMN on 'IDX for the period 2016-2020 can be concluded that 2016 is volatile to 2020. This means that non-financial public enterprises will have improvements in their performance. annual profit management to minimize the risk of occurrence. Managers' overconfidence in non-financial EIB companies BUMN During the period 2016-2020, there were 11 companies with excessive confidence in the performance of managers, namely INAF, KAEF, KRAS, ADHI, WIKA, WSKT, ANTM, TINS, SMBR, GIAA, TLKM, while the other 5 companies showing low confidence are PGAS, PTPP, PTBA, SMGR, JSMR.
BREEDING WATERBIRDS OF LA PAZ BAY, BAJA CALIFORNIA SUR, MEXICO

SUMMARY We surveyed the breeding waterbirds of La Paz, Baja California Sur, from 1979 to 1993. We recorded nesting by 17 species and discovered previ- ously unreported colonies of the Black and Least Storm-Petrels on Isla La Lobera (just north of Isla Partida). The most abundant species was the Brown Pelican, up to 1200 pairs of which nested on Isla La Ballena, just west of Espiritu Santo Island. Two pairs of Heermann's Gull attempted nesting in 1990 on this island, a site previously unreported for this species. A colony of Least Terns at Las Afeguas on the east side of the Ensenada de La Paz, just west of the city of La Paz, failed repeatedly, essentially because of human disturbance. ACKNOWLEDGMENTS We thank all the personnel of the program "Avifauna de Baja California Sur," David Buciaga and Felipe Becerril for drawing the map of the study area, and Philip Unitt and Daniel Anderson for their suggestions that improved this paper substan- tially. LITERATURE CITED Alvarez-Borrego, S. 1983. Gulf of California, in Estuaries and Enclosed Seas (C. B. H. Ketchum, ed.), pp. 427-449. Elsevier, Amsterdam. Anderson, D. W. 1983. The seabirds, in Island Biogeography in the Sea of Cortez (T. J. Case and M. L. Cody, eds.), pp. 246-264. Univ. Calif. Press, Berkeley. Anonymous. 1988. Islas del Golfo de California. Secretaria de Gobernaci6n-Univ. Nacl. Aut6noma M•x, M•xico, D.F. Carmona, R. , and Z•rate, B. 1992. Biologia reproductiva de la gayiota de patas amarillas (Larus livens), en Isla Gayiota, B.C.S. , M•xico. Rev. Inv. Cient. 3(1): 11-22. Carmona, R. 1993. Reproducci6n y crecimiento de dos especies de gayiota, Larus livens y L. occidentalis, anidantes en Baja California Sur. Master's thesis, Inst. Polit•cnico Nacl. , CICIMAR, La Paz. Everett, W. T. , and Anderson, D. W. 1991. Status and conservation of the breeding seabirds on offshore Pacific islands of Baja California and the Gulf of California.
Improving Cross-Language Code Clone Detection via Code Representation Learning and Graph Neural Networks

Code clone detection is an important aspect of software development and maintenance. The extensive research in this domain has helped reduce the complexity and increase the robustness of source code, thereby assisting bug detection tools. However, the majority of the clone detection literature is confined to a single language. With the increasing prevalence of cross-platform applications, functionality replication across multiple languages is common, resulting in code fragments having similar functionality but belonging to different languages. Since such clones are syntactically unrelated, single language clone detection tools are not applicable in their case. In this article, we propose a semi-supervised deep learning-based tool Rubhus, capable of detecting clones across different programming languages. Rubhus uses the control and data flow enriched abstract syntax trees (ASTs) of code fragments to leverage their syntactic and structural information and then applies graph neural networks (GNNs) to extract this information for the task of clone detection. We demonstrate the effectiveness of our proposed system through experiments conducted over datasets consisting of Java, C, and Python programs and evaluate its performance in terms of precision, recall, and F1 score. Our results indicate that Rubhus outperforms the state-of-the-art cross-language clone detection tools.
The Innate Immune Response in DENV- and CHIKV-Infected Placentas and the Consequences for the Fetuses: A Minireview

Dengue virus (DENV) and chikungunya (CHIKV) are arthropod-borne viruses belonging to the Flaviviridae and Togaviridae families, respectively. Infection by both viruses can lead to a mild indistinct fever or even lead to more severe forms of the diseases, which are characterized by a generalized inflammatory state and multiorgan involvement. Infected mothers are considered a high-risk group due to their immunosuppressed state and the possibility of vertical transmission. Thereby, infection by arboviruses during pregnancy portrays a major public health concern, especially in countries where epidemics of both diseases are regular and public health policies are left aside. Placental involvement during both infections has been already described and the presence of either DENV or CHIKV has been observed in constituent cells of the placenta. In spite of that, there is little knowledge regarding the intrinsic earlier immunological mechanisms that are developed by placental cells in response to infection by both arboviruses. Here, we approach some of the current information available in the literature about the exacerbated presence of cells involved in the innate immune defense of the placenta during DENV and CHIKV infections.
A QoS-Aware Data Aggregation Strategy for Resource Constrained IoT-Enabled AMI Network in Smart Grid

Emerging Internet of Things (IoT) technologies and applications have enabled the Smart Grid Utility control center to connect, monitor, control, and exchange data between the smart appliances, smart meters (SMs), data concentrators (DCs) and control center server (CCS) over the Internet. In particular, DC receives different Advanced Metering Infrastructure (AMI) applications data from multiple SMs for processing, queuing, aggregation, and forwarding onward towards the CCS over the things networking. However, DCs are expensive component of the AMI network. Recently, SMs are used as relay-devices to accomplish a cost-effective AMI network infrastructure to avoid the DC placement and bottleneck problem. However, SMs are recourse constrained (limited CPU, RAM, storage, and network capacity) intelligent devices which faces numerous communication challenges during outage conditions and summer peak hours where bulk amount of data with different traffic rates and latency are exchanged with the Utility control center. Therefore, an efficient data aggregation is required at relay-devices to deal with high volume of data exchange rates in order to optimize the constrained-resources of the AMI network. In this article, we propose a hybrid data aggregation strategy implemented on an aggregator-head (AH) in the clustering topology which performs data aggregation on the Interval Meter Reading (IMR) application data. AH induction greatly reduces the workload of the cluster-heads (CHs), and efficiently utilizes the constrained-resource of AMI devices in a cost effective-manner. The proposed strategy is evaluated for different existing approaches using the CloudSim simulation tool. Experimental and simulation results are obtained and compared which show the effectiveness of the proposed strategy such that limited resources are optimized, CH workload is minimized, and QoS of AMI applications are maintained.
The Effect of Debt-to-Equity Ratio, Return on Asset, Current Ratio, and Total Asset Turnover on Stock Price: The Intervening Effect of Intrinsic Value in Indonesia’s Retail Business

This study examines the effect of Debt-to-Equity Ratio (DER), return on assets (ROA), current ratio (CR), and total asset turnover (TATO) on stock prices with their Intrinsic Value as intervening variables in retail companies in Indonesia. Data regarding retail companies were obtained from the Indonesia Stock Exchange, and secondary data on these companies' financial ratios were collected from Stockbit. Stock price data were sourced from Yahoo Finance, and the intrinsic value of shares was determined using the price-to-earning ratio method. Drawing on structural equation modeling, the findings demonstrate that DER and ROA exert a positive and statistically significant effect on intrinsic value. TATO, on the other hand, exhibits a negative and statistically significant effect on intrinsic value, while CR demonstrates a negative and non-significant effect. Regarding stock prices, DER and CR have a negative and statistically significant effect, while ROA and Intrinsic Value have a positive and statistically significant effect. TATO, however, shows a negative and non-significant effect on stock prices. Furthermore, DER has a positive and non-significant effect on stock prices through intrinsic value, whereas ROA has a positive and statistically significant effect on stock prices through intrinsic value. CR, on the other hand, exhibits a negative and non-significant effect on stock prices through intrinsic value, and TATO demonstrates a negative and statistically significant effect on stock prices through intrinsic value.
Antigingivitis and Antiplaque Effects of Oral Probiotic Containing the Streptococcus salivarius M18 Strain: A Randomized Clinical Trial

We aimed to assess the effect of oral probiotic containing the Streptococcus salivarius M18 strain on gingival inflammation, bleeding on probing, and oral biofilm. Sixty-one consenting participants aged between 18 and 25 with gingivitis were recruited in this double-blind, parallel-group study and randomly divided into the probiotic group (n = 31) and the placebo group (n = 30). Fifty-seven participants completed the entire study protocol, 27 in the probiotic group and 30 in the placebo group. The outcomes were assessed after 4 weeks of intervention and 4 weeks of follow-up. There was a significant decrease in the Gingival Index, with the effect size of 0.58 [95%CI 0.05–1.10], and Turesky modification of the Quigley and Hein Plaque Index, with the effect size of 0.55 [95%CI: 0.02–1.07], in the probiotic group after the intervention. However, after a 4-week follow-up, the only significant treatment outcome was improved gingival condition according to the Gingival Index. The Gingival Bleeding Index also decreased significantly in the probiotic group after the intervention period; after the follow-up, this parameter did not differ significantly in both groups from the baseline values. In the placebo group, there were no significant improvements in the assessed parameters throughout this study. No serious side effects were registered. Within the limitations of this study, we conclude that the use of oral probiotic containing the Streptococcus salivarius M18 strain resulted in a significant improvement in gingival condition and oral hygiene level in young adults with gingivitis. Trial registration NCT05727436. Funding: none.
Lung Function and Asthma Clinical Control in N-ERD Patients, Three-Year Follow-Up in the Context of Real-World Evidence

Purpose To describe the lung function and clinical control of asthma in patients with N-ERD during three years of medical follow-up using GINA guidelines. Methods We evaluated 75 N-ERD and 68 asthma patients (AG). Clinical control, lung function, and asthma treatment were evaluated according to GINA-2014. We compared all variables at baseline and one, two, and three years after treatment. Results At baseline, the N-ERD group had better basal lung function (LF) than the AG group (p<0.01), and the AG group used higher doses of inhaled corticosteroids than the N-ERD group (52.4% vs 30.5%, p=0.01) and short-term oral corticosteroid (OCS) use (52.4% vs 30.5%, p<0.01). Instead, N-ERD patients needed more use of leukotriene receptor antagonists (LTRA) (29.3% vs 5.9%, p<0.01). This group had better clinical control than the AG group (62.1% vs 34.1%, p<0.01). During the medical follow-up, the LF of the N-ERD group remained at normal values; however, these parameters improved in AG from one year (p<0.01). Likewise, there was a diminished use of high doses of ICS (52.4% vs 33%, p<0.05) and short-term OCS (67.6% vs 20.6%, p<0.01) in asthma patients. However, N-ERD patients still needed more use of LTRAs (p<0.02) during the study. In this context, one-third of N-ERD patients had to use a combination of two drugs to maintain this control. From the second year on, clinical control of asthma was similar in both groups (p>0.05). Conclusion According to GINA guidelines, only one-third of patients with N-ERD can gradually achieve adequate lung function and good asthma control with a high ICS dosage. Only a very small portion of patients will require the continued use of a second medication as an LTRA to keep their asthma under control.
GENETIC DIVERSITY AND PHYLOGENY OF RHIZOBIA ISOLATED FROM NODULES USING RFLP-PCR TECHNIQUE IN NINEVEH PROVINCE, IRAQ

Rhizobia are important bacteria, playing a vital role in atmospheric nitrogen fixation. In addition, it increases soil fertility, enhancing crop production and preserving the soil from pollution resulting from inorganic fertilizers’ use. From 81 bacteria samples, nine isolates segregated from nine types of leguminous crops are economically valuable for cultivation within nine different locations in Nineveh Governorate, Iraq. The isolates underwent initial diagnosis by phenotypical and cultural characteristics and host specialization tests. Molecular characterization also ran on the selected bacterial isolates. Performing the 16S rRNA region amplification applied forward primer 27F and a reverse primer 1541R using the polymerase chain reaction (PCR) technique. The results of restriction fragment length polymorphism (RFLP-PCR) employing three endonuclease enzymes showed that EcoRI had similar sequences among the isolates under study but significantly different for MspI and HaeIII. Based on the analysis of results using the statistical program MVSP version 3.22, the degree of similarity divided the isolates into three groups. Results revealed that there were genetic differences between the isolates and the suppressing enzymes, providing more accurate results in recognizing the similarity among the bacterial isolates as a result of the difference in the location and environmental conditions from which the bacteria were isolated, in addition to the different agricultural processes used for those regions.
From Farmyard to City Square? The Electoral Adaptation of the Nordic Agrarian Parties

Contents: The Swedish centre party: the poor relation of the family, Anders Widfeldt The Norwegian Agrarian-centre party: class, rural or catchall party? , Dag Arne Christensen The Finnish centre party: a case of successful transformation? , David Arter The Danish venstre: liberal, Agrarian or centrist? , Jorgen Goul Andersen and Jan Bendix Jensen The Icelandic progressive party: trawling for the town vote? , Gunnar Helgi Kristinsson Conclusion, David Arter.
Integrating distribution kinetics and toxicodynamics to assess repeat dose neurotoxicity in vitro using human BrainSpheres: a case study on amiodarone

For ethical, economical, and scientific reasons, animal experimentation, used to evaluate the potential neurotoxicity of chemicals before their release in the market, needs to be replaced by new approach methodologies. To illustrate the use of new approach methodologies, the human induced pluripotent stem cell-derived 3D model BrainSpheres was acutely (48 h) or repeatedly (7 days) exposed to amiodarone (0.625–15 µM), a lipophilic antiarrhythmic drug reported to have deleterious effects on the nervous system. Neurotoxicity was assessed using transcriptomics, the immunohistochemistry of cell type-specific markers, and real-time reverse transcription–polymerase chain reaction for various genes involved in the lipid metabolism. By integrating distribution kinetics modeling with neurotoxicity readouts, we show that the observed time- and concentration-dependent increase in the neurotoxic effects of amiodarone is driven by the cellular accumulation of amiodarone after repeated dosing. The development of a compartmental in vitro distribution kinetics model allowed us to predict the change in cell-associated concentrations in BrainSpheres with time and for different exposure scenarios. The results suggest that human cells are intrinsically more sensitive to amiodarone than rodent cells. Amiodarone-induced regulation of lipid metabolism genes was observed in brain cells for the first time. Astrocytes appeared to be the most sensitive human brain cell type in vitro. In conclusion, assessing readouts at different molecular levels after the repeat dosing of human induced pluripotent stem cell-derived BrainSpheres in combination with the compartmental modeling of in vitro kinetics provides a mechanistic means to assess neurotoxicity pathways and refine chemical safety assessment for humans.