bluuebunny/crossref_metadata_2025_split huggingface dataset:
Azimuthal correlations of high transverse momentum jets at next-to-leading order in the parton branching method
Authors: Abdulhamid M. I. , Al-Mashad M. A. , Martinez A. Bermudez , Bonomelli G. , Bubanja I. , Crnković N. , Colombina F. , D’Anzi B. , Cerci S. , Davydov M. , Banos L. I. Estevez , Forzano N. , Hautmann F. , Jung H. , Kim S. , Quirós A. León , Martins D. E. , Mendizabal M. , Figueroa K. Moral , Prestel S. , Monfared S. Taheri , Süslü C. , Cerci D. Sunar , van Kampen A. M. , Van Mechelen P. , Verbytskyi A. , Wang Q. , Yang H. , Zhou Y. 
Published: January 2022

AbstractThe azimuthal correlation, $$\Delta \phi _{12}$$

Δ

ϕ
12

, of high transverse momentum jets in pp collisions at $$\sqrt{s}=13$$

s

=
13

TeV is studied by applying PB-TMD distributions to NLO calculations via MCatNLO together with the PB-TMD parton shower. A very good description of the cross section as a function of $$\Delta \phi _{12}$$

Δ

ϕ
12

is observed. In the back-to-back region of $${\Delta \phi _{12}}\rightarrow \pi $$

Δ

ϕ
12

→
π

, a very good agreement is observed with the PB-TMD Set 2 distributions while significant deviations are obtained with the PB-TMD Set 1 distributions. Set 1 uses the evolution scale while Set 2 uses transverse momentum as an argument in $$\alpha _\mathrm {s}$$

α
s

, and the above observation therefore confirms the importance of an appropriate soft-gluon coupling in angular ordered parton evolution. The total uncertainties of the predictions are dominated by the scale uncertainties of the matrix element, while the uncertainties coming from the PB-TMDs and the corresponding PB-TMD shower are very small. The $$\Delta \phi _{12}$$

Δ

ϕ
12

measurements are also compared with predictions using MCatNLO together Pythia8, illustrating the importance of details of the parton shower evolution.
FCC-ee: physics motivations
Authors: Grojean Christophe 
Published: January 2022

AbstractLearning from the first twelve years of LHC running, this essay offers a brief journey through the FCC-ee physics programme from refined precision measurements to probes of new physics, highlighting some of the commentaries between the different runs of FCC-ee at various energies as well as the synergies between the two FCC-ee and FCC-hh collider stages.
OpenCarrier: Breaking the User Limit for Uplink MU-MIMO Transmissions With Coordinated APs
Authors: Yan Yubo , Yang Panlong , Xiong Jie , Li Xiang-Yang 
Published: January 2022

The global IoT market is experiencing a fast growth with a massive number of IoT/wearable devices deployed around us and even on our bodies. This trend incorporates more users to upload data frequently and timely to the APs. Previous work mainly focus on improving the up-link throughput. However, incorporating more users to transmit concurrently is actually more important than improving the throughout for each individual user, as the IoT devices may not require very high transmission rates but the number of devices is usually large. In the current state-of-the-arts (up-link MU-MIMO), the number of transmissions is either confined to no more than the number of antennas (node-degree-of-freedom, node-DoF) at an AP or clock synchronized with cables between APs to support more concurrent transmissions. However, synchronized APs still incur a very high collaboration overhead, prohibiting its real-life adoption. We thus propose novel schemes to remove the cable-synchronization constraint while still being able to support more concurrent users than the node-DoF limit, and at the same time minimize the collaboration overhead.
In this paper, we design, implement, and experimentally evaluate OpenCarrier, the first distributed system to break the user limitation for up-link MU-MIMO networks with coordinated APs. Our experiments demonstrate that OpenCarrier is able to support up to five up-link high-throughput transmissions for MU-MIMO network with 2-antenna APs.
Overview of Research on Germline Genetic Variation in Immune Genes and Cancer Outcomes
Authors: Chao Brittany N. , Carrick Danielle M. , Filipski Kelly K. , Nelson Stefanie A. 
Published: January 2022

Abstract
Since the late 19th century, the immune system has been known to play a role in cancer risk, initiation, and progression. Genome-wide association studies (GWAS) have identified hundreds of genetic risk loci for autoimmune and inflammatory diseases, yet the connection between human genetic variation and immune-mediated response to cancer treatments remains less well-explored. Understanding inherited genetic variation, with respect to germline genetic polymorphisms that affect immune system pathways, could lead to greater insights about how these processes may best be harnessed to successfully treat cancer. Our goal in this manuscript was to understand progress and challenges in assessing the role of inherited genetic variation in response to cancer treatments. Overall, the 39 studies reviewed here suggest that germline genetic variation in immune system–related genes may potentially affect responses to cancer treatments. Although further research is needed, considering information on germline immune genetic variation may help, in some cases, to optimize cancer treatment.
Estimating Distributions of Breast Cancer Onset and Growth in a Swedish Mammography Screening Cohort
Authors: Strandberg Rickard , Czene Kamila , Eriksson Mikael , Hall Per , Humphreys Keith 
Published: January 2022

Abstract

Background:
In recent years, biologically motivated continuous tumor growth models have been introduced for breast cancer screening data. These provide a novel framework from which mammography screening effectiveness can be studied.

Methods:
We use a newly developed natural history model, which is unique in that it includes a carcinogenesis model for tumor onset, to analyze data from a large Swedish mammography cohort consisting of 65,536 participants, followed for periods of up to 6.5 years. Using patient data on age at diagnosis, tumor size, and mode of detection, as well as screening histories, we estimate distributions of patient's age at onset, (inverse) tumor growth rates, symptomatic detection rates, and screening sensitivities. We also allow the growth rate distribution to depend on the age at onset.

Results:
We estimate that by the age of 75, 13.4% of women have experienced onset. On the basis of a model that accounts for the role of mammographic density in screening sensitivity, we estimated median tumor doubling times of 167 days for tumors with onset occurring at age 40, and 207 days for tumors with onset occurring at age 60.

Conclusions:
With breast cancer natural history models and population screening data, we can estimate latent processes of tumor onset, tumor growth, and mammography screening sensitivity. We can also study the relationship between the age at onset and tumor growth rates.

Impact:
Quantifying the underlying processes of breast cancer progression is important in the era of individualized screening.
Genetically Predicted Circulating Levels of Antioxidants and Risk of Breast and Ovarian Cancer
Authors: Zhao Huanling , Zhu Jiahao , TSE Lap Ah , Kinra Sanjay , Li Yingjun 
Published: January 2022

Abstract

Evidence from observational studies for the effects of circulating antioxidants on the risk of breast and ovarian cancer was inconsistent. To elucidate the potential causal association of circulating antioxidants on the risk of breast and ovarian cancer, we carried out a two-sample Mendelian randomization (MR) study. The instrumental variables as proxies of genetic liability to circulating antioxidants were obtained from several published data. Summary-level data of breast and ovarian cancer were obtained from genome-wide association study (GWAS) conducted by the Breast (122,977 cases and 105,974 controls) and the Ovarian (25,509 cases and 40,941 controls) Cancer Association Consortiums. MR analyses were mainly performed using the inverse variance–weighted tests. Sensitivity analyses were further conducted to assess heterogeneity and horizontal pleiotropy. No evidence of causal association between genetically predicted circulating antioxidants and breast cancer and its histotypes was discovered as assessed by absolute levels [β-carotenoid: OR, 0.98; 95% confidence interval (CI), 0.92–1.05; P = 0.627; lycopene: OR, 0.99; 95% CI, 0.95–1.03; P = 0.532; retinol: OR, 0.87; 95% CI, 0.49–1.55; P = 0.645; ascorbate: OR, 1.00; 95% CI, 0.99–1.00; P = 0.123] and metabolites (α-tocopherol: OR, 0.88; 95% CI, 0.65–1.19; P = 0.394; γ-tocopherol: OR, 1.00; 95% CI, 0.87–1.16; P = 0.978; retinol: OR, 1.02; 95% CI, 1.00–1.04; P = 0.070; ascorbate: OR, 0.99; 95% CI, 0.91–1.06; P = 0.703). Similarly, no beneficial effect of genetic determinants of circulating antioxidants on ovarian cancer and its histotypes was found. Our study might not indicate a protective role of circulating antioxidants on the breast or ovarian cancer risk.

Prevention Relevance:
Although this study does not find that circulating antioxidants are protective against breast and ovarian cancer, it is still possible that a high intake of antioxidant-rich foods containing other potentially beneficial components could be cancer preventative.
Level of Teaching Practices in Mathematics in Relation to Indigenous Students’ Academic Performance in Selected Schools in Zambales SY 2019-2020
Authors: Panes Annalou B. , Falle Teresita A. 
Published: January 2022

The study revealed that the teacher-respondent is in her early adulthood, bachelors’ degree holder and attended few numbers of training relevant to teaching IP students. The teacher-respondents assessed “Always Practiced” on the dimensions of teaching Mathematics strategies among IP students. The students assessed “Always Practiced” on the dimensions of teaching Mathematics strategies among IP students. The IP students were rated “Satisfactory” in both Mathematics subjects Algebra and Geometry. There is significant difference on the perception towards dimensions on teaching Mathematics strategies for IP students between teachers and students. There is significant difference on the perception of the teacher-respondents while no significant differences to the students towards dimensions of teaching Mathematics strategies among IP students as to Creating Student’s Learning Environment Focused on Mathematics Goals, Providing Opportunities for Independent and Collaborative, Facilitating Mathematical Discussion, Using Appropriate Mathematics Language, connections, tools, and presentations, Developing and Using Teacher Knowledge to Initiate Learning and Assessing Student Academic Performance in Algebra and Geometry. The researcher offered the following recommendations based in the study that the school management is encouraged to organize an in-house teacher’s capability training in order to enhance motivational techniques and teaching strategies in Mathematics among IP students; the teachers are encouraged to be resourceful and creative in organizing the lesson in order to unlock the difficulty among the students in learning mathematics; the teachers are encouraged to conduct and in-depth study on the nature of the students and apply the learning activity and exercises based on their capability and competence.
Agri-Farm Tourism in Region IV-A: Basis for a Proposed Development Plan
Authors: Salarda Lady Michelle dP. 
Published: January 2022

Agri-Farm tourism in Region IV-A is very evident because of its rich farm lands. It is an indication that it gets to produce jobs and income to its people and the community at large. In order to develop sustainable Agri-farm tourism in Region IV-A, the study suggested variety of projects, strategies and activities to be implemented contributing to the environmental, cultural, social and economic growth of the area that is reflected through a development plan. The study was conducted to determine what are the products, services, marketing activities and linkages in Agri-farm tourism in Region IV-A, and assess its economic contributions to the region, as well as its capability to be sustainable. Likewise, the researcher come up with any recommendations that will improve the products, services, marketing activities and linkages of Agri-farm tourism in the region and will contribute to its possible sustainability based or anchored purely from the results of the study.
The descriptive method of research was employed in this study. The respondents such as farm owners, Local Government Unit employees and visitors were randomly chosen and asked to answer the survey questionnaire about their perceptions on the products, services, marketing activities, linkages and the problems encountered in the selected Agri-Farm Tourism sites located in Region IV-A. Responses were analyzed using percentage, weighted mean, Analysis of Variance, Ranking, and to assess whether there is a significant difference in the responses of the three groups of respondents, use the t-test (Grouped Data).The results showed that the respondents looked for a more sustainable products, services, marketing activities and linkages. In the acceptability of the Development Plan, it was found to be highly acceptable by the respondents and can be implemented by the Agri-farm tourism owners for sustainable development.
These results suggest that owners and the management should consider improving the Agri-farm tourism business with strong emphasis on the products, services, marketing activities and linkages to attain higher assessment rating from Very Good to Excellent. The Proposed Development Plan may be adopted by the Agri-Farm Tourism planners, farm owners and Local Government Unit employees should give emphasis on Agri-farm Tourism offer as to products and services, extent of marketing and linkages, and its sustainability to keep the Agri-farm tourism business.
Instructional Material Development for Vocabulary Enhancement of Grade 9 Students of Botolan National High School
Authors: Bellido Willyn A. , Rico Felipa M. 
Published: January 2022

This study aimed to determine the level of vocabulary skills of Grade 9 students of Botolan National High. This was identified by using the DepEd E-class Record transmutation table and descriptive rating. The study which used descriptive analysis research was also utilized to know the level of vocabulary of 155 Grade 9 respondents of Botolan National High School SY 2019- 2020. Results and findings of the study led to the development of the supplementary instructional materials to enhance the level of vocabulary of Grade 9 students.
The findings revealed that the level of vocabulary skills of the students before exposure to context clues was Fairly Satisfactory, while the level of the vocabulary skills of the students after exposure to context clues was Satisfactory. The level of vocabulary skills of the students before exposure to visual association was Fairly Satisfactory while the level of the vocabulary skills of the students after exposure to visual association was also Fairly Satisfactory.
There was significant relationship on the level of vocabulary skills of the students before and after exposure to context clue and visual association strategies. It is recommended therefore that appropriate supplementary instructional materials be devised and utilized in order to enhance the level of vocabulary skills of Grade 9 students.
Assessing the Accuracy of Estimated Lipoprotein(a) Cholesterol and Lipoprotein(a)‐Free Low‐Density Lipoprotein Cholesterol
Authors: Zheng Weili , Chilazi Michael , Park Jihwan , Sathiyakumar Vasanth , Donato Leslie J. , Meeusen Jeffrey W. , Lazo Mariana , Guallar Eliseo , Kulkarni Krishnaji R. , Jaffe Allan S. , Santos Raul D. , Toth Peter P. , Jones Steven R. , Martin Seth S. 
Published: January 2022

Background
Accurate measurement of the cholesterol within lipoprotein(a) (Lp[a]‐C) and its contribution to low‐density lipoprotein cholesterol (LDL‐C) has important implications for risk assessment, diagnosis, and treatment of atherosclerotic cardiovascular disease, as well as in familial hypercholesterolemia. A method for estimating Lp(a)‐C from particle number using fixed conversion factors has been proposed (Lp[a]‐C from particle number divided by 2.4 for Lp(a) mass, multiplied by 30% for Lp[a]‐C). The accuracy of this method, which theoretically can isolate “Lp(a)‐free LDL‐C,” has not been validated.

Methods and Results
In 177 875 patients from the VLDbL (Very Large Database of Lipids), we compared estimated Lp(a)‐C and Lp(a)‐free LDL‐C with measured values and quantified absolute and percent error. We compared findings with an analogous data set from the Mayo Clinic Laboratory. Error in estimated Lp(a)‐C and Lp(a)‐free LDL‐C increased with higher Lp(a)‐C values. Median error for estimated Lp(a)‐C <10 mg/dL was −1.9 mg/dL (interquartile range, −4.0 to 0.2); this error increased linearly, overestimating by +30.8 mg/dL (interquartile range, 26.1–36.5) for estimated Lp(a)‐C ≥50 mg/dL. This error relationship persisted after stratification by overall high‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol subtypes. Similar findings were observed in the Mayo cohort. Absolute error for Lp(a)‐free LDL‐C was +2.4 (interquartile range, −0.6 to 5.3) for Lp(a)‐C<10 mg/dL and −31.8 (interquartile range, −37.8 to −26.5) mg/dL for Lp(a)‐C≥50 mg/dL.

Conclusions
Lp(a)‐C estimations using fixed conversion factors overestimated Lp(a)‐C and subsequently underestimated Lp(a)‐free LDL‐C, especially at clinically relevant Lp(a) values. Application of inaccurate Lp(a)‐C estimations to correct LDL‐C may lead to undertreatment of high‐risk patients.
Predicting the Future With a Scale-Invariant Temporal Memory for the Past
Authors: Goh Wei Zhong , Ursekar Varun , Howard Marc W. 
Published: January 2022

Abstract
In recent years, it has become clear that the brain maintains a temporal memory of recent events stretching far into the past. This letter presents a neurally inspired algorithm to use a scale-invariant temporal representation of the past to predict a scale-invariant future. The result is a scale-invariant estimate of future events as a function of the time at which they are expected to occur. The algorithm is time-local, with credit assigned to the present event by observing how it affects the prediction of the future. To illustrate the potential utility of this approach, we test the model on simultaneous renewal processes with different timescales. The algorithm scales well on these problems despite the fact that the number of states needed to describe them as a Markov process grows exponentially.
Conclusion: The Narrow Road to Martyrdom
Authors: Fabre Pierre-Antoine 
Published: January 2022

Abstract
The conclusion of this collection of studies endeavors to recapture five major questions that this special issue of the Journal of Jesuit Studies poses on the subject of martyrdom: Is this gesture a form of imitation of Christ (or imitatio Christi) or is it itself a sacrifice? How does it get rid of the shadow of suicide or voluntary death? How do the singularity of its experience and the community within which and in the name of which it is exercised articulate? Can martyrdom be defined as a renunciation of human love, and in this sense as the ultimate step in a process of conversion? How does martyrdom take its place in the writing of the religious history of the modern era, in particular, as far as the Society of Jesus is concerned, in the historiography of the nineteenth century? These five questions open this collection of essays to a field of research that remains to be pursued.
Objective and Probabilistic Long-Range Forecasts of Summertime Air Temperatures in South Korea Based on Gaussian Processes
Authors: Rhee Jinyoung , Myoung Boksoon 
Published: January 2022

Abstract
We propose the objective long-range forecasting model based on Gaussian processes (OLRAF-GP), focusing on summertime near-surface air temperatures in June (1-month lead), July (2-month lead), and August (3-month lead). The predictors were objectively selected based on their relationships with the target variables, either from observations (GP-OBS) or from observations and dynamical climate model results from APEC Climate Center multimodel ensemble (APCC MME) for the period with no observed data (GP-MME). The performances of the OLRAF-GP models were compared with the model with predetermined predictors from observations (GP-PD). Both GP-MME and GP-OBS outperformed GP-PD in June [Heidke skill score (HSS); HSS = 0.46, 0.72, and 0.16 for mean temperature] and July (HSS = 0.53, 0.3, and 0.07 for mean temperature). Furthermore, GP-MME mostly outperformed GP-OBS and GP-PD in August (HSS = 0.52, 0.28, and 0.5, respectively, for mean temperature), implying larger contributions of the additional predictors from MME. OLRAF-GP models, especially GP-MME, are expected to better forecast summertime temperatures in regions where existing models have been struggling. We find that the physical processes associated with the notable predictors are aligned with those in previous studies, such as the attribution of the La Niña conditions in the previous winter, the related Indian Ocean capacitor effect, and the impacts of wintertime Polar/Eurasia pattern. These results imply that the mechanisms of the objectively selected predictors can be physically meaningful, and their inclusion can improve model performance and efficiency.

Significance Statements
This study aims to improve the long-range probabilistic forecasting of summertime near-surface temperatures for regions where the climate variability is not sufficiently explained by well-known key predictors. We propose objective and probabilistic forecasting models that use objectively selected predictors either from observations or from observations and results of the dynamical climate model. The overall skill scores of the proposed models (overall HSS = 0.33, 0.39) for the case study site of South Korea are higher than the model with predetermined predictors (overall HSS = 0.19). We also find that the mechanisms of the objectively selected predictors can be physically meaningful, and their inclusion can improve model performance and efficiency.
COVID-19, Reverse Migration and Crisis Management: A Study of the Model of Government of Uttar Pradesh (India)
Authors: Tripathi Aditya P. , Agrawal Noopur 
Published: January 2022

With the outbreak of the global pandemic of COVID-19, India witnessed one of the largest reverse migrations in its entire history. Amid continuously streaming heart-rending visuals of migrant workers struggling to somehow return to their place of origin, Uttar Pradesh emerged as the recipient of huge 3.2 million migrant workers employed in the informal sector. Accepting, welcoming, helping, encouraging and offering employment to those destitute workers amid the pandemic was a difficult task for the state government. An appropriate management of this problem has made it a classic case of crisis management by a state chief minister who dares to think beyond the reflex paranoia about resource crunch so as to come up with an improvised strategy. Purpose of this article is to discuss the crisis of reverse migration amid COVID-19 and the initiatives taken by the Government of Uttar Pradesh. The article uses case study approach to analyse the problem of livelihood faced by the migrant workers and the innovative model of employment and rehabilitation envisioned and implemented by the state government. Based on secondary data, it observes positive impact of skill mapping and other key strategies of the Government of Uttar Pradesh.