Common Pattern Research Articles

A global compilation of diatom silica oxygen isotope records from lake sediment – trends and implications for climate reconstruction

Abstract. Oxygen isotopes in biogenic silica (δ18OBSi) from lake sediments allow for quantitative reconstruction of past hydroclimate and proxy-model comparison in terrestrial environments. The signals of individual records have been attributed to different factors, such as air temperature (Tair), atmospheric circulation patterns, hydrological changes, and lake evaporation. While every lake has its own local set of drivers of δ18O variability, here we explore the extent to which regional or even global signals emerge from a series of paleoenvironmental records. This study provides a comprehensive compilation and combined statistical evaluation of the existing lake sediment δ18OBSi records, largely missing in other summary publications (i.e. PAGES network). For this purpose, we have identified and compiled 71 down-core records published to date and complemented these datasets with additional lake basin parameters (e.g. lake water residence time and catchment size) to best characterize the signal properties. Records feature widely different temporal coverage and resolution, ranging from decadal-scale records covering the past 150 years to records with multi-millennial-scale resolution spanning glacial–interglacial cycles. The best coverage in number of records (N = 37) and data points (N = 2112) is available for Northern Hemispheric (NH) extratropical regions throughout the Holocene (roughly corresponding to Marine Isotope Stage 1; MIS 1). To address the different variabilities and temporal offsets, records were brought to a common temporal resolution by binning and subsequently filtered for hydrologically open lakes with lake water residence times < 100 years. For mid- to high-latitude (> 45° N) lakes, we find common δ18OBSi patterns among the lake records during both the Holocene and Common Era (CE). These include maxima and minima corresponding to known climate episodes, such as the Holocene Thermal Maximum (HTM), Neoglacial Cooling, Medieval Climate Anomaly (MCA) and the Little Ice Age (LIA). These patterns are in line with long-term air temperature changes supported by previously published climate reconstructions from other archives, as well as Holocene summer insolation changes. In conclusion, oxygen isotope records from NH extratropical lake sediments feature a common climate signal at centennial (for CE) and millennial (for Holocene) timescales despite stemming from different lakes in different geographic locations and hence constitute a valuable proxy for past climate reconstructions.

Prevalence and antimicrobial susceptibility of Pasteurella multocida isolated from goats in Can Tho city

A total of 289 goats’ nasal swabs were collected from March to May 2023 to determine the prevalence of Pasteurella multocida in goats raised on medium-scale farms in Can Tho city. There were 143 samples representing 49.48% positive for Pasteurella multocida. Of 143 positive samples, 64 strains were selected to examine the antimicrobial susceptibility using the disk diffusion method. The results showed that those strains were still sensitive to 6/7 examined antibiotics, especially doxycycline (100%); however, they were highly resistant to ampicillin (53.13%). There were 9 phenotypes of antibiotic resistance (60.94%), with the most common patterns of ampicillin and ampicillin + amoxicillin/clavulanic acid (23.44%).By using PCR assay to detect antibiotic resistance genes, the results revealed that sulII gene was the most frequent detection (67.19%). A total of 11 resistance genotypes detected in 54 strains accounted for 84.38%, and the pattern of aadB + sulII was the most common genotype accounting for 23.44%. Therefore, the prevalence and antimicrobial susceptibility of P. multocida in goats should be controlled to protect their health and prevent spreading in husbandry environments.

Spatial fish distribution in autumn in a shallow mesotrophic lake, assessed by hydroacoustic surveys, trawling, and beach seining.

Day and nighttime autumn fish abundance and biomass were studied in the pelagic and littoral zones of Lake Sauka in Latvia. Both pelagic methods (hydroacoustics and trawling) revealed significantly higher fish abundance and biomass during the day than at night, especially in deeper zones (below 3 m). Roach (Rutilus rutilus) and Eurasian perch (Perca fluviatilis) dominated the trawl catches during the day, while roach and ruffe dominated at night. Fish smaller than 14 cm strongly dominated in both the trawl catches and hydroacoustic observations. Our hydroacoustic sampling found inhomogeneous pelagic distributions of fish aggregated in big shoals during the day. In the littoral zone, which was sampled by beach seining, both the abundance and biomass were significantly higher at night than during the day. Roach, bleak, and European perch usually dominated in beach seine catches during the day and at night. The daytime pelagic biomass found by hydroacoustics was 62 kg/ha and it decreased to approximately 11 kg/ha at night. The littoral biomass found by beach seining was diurnally opposite, 4 kg/ha during the day and 37 kg/ha at night. It is obvious that diurnal horizontal migrations between pelagic and littoral zones, and shoaling behavior during the daytime are common patterns in the shallow Lake Sauka during the autumn. The study of the spatial distribution of fish is extremely important for the establishment of an appropriate monitoring plan for the purposes of the Water Framework Directive with regard to the morphometry of the lake, the geographical location, and the sampling period of the year. This study also shows that the combination of completely non-invasive hydroacoustic and other methods that are invasive (trawls, beach seines) but not as destructive as gillnets, which are normally used for scientific fish monitoring in Europe, could be a future way forward for fish monitoring.

Gambaran Wabah Dalam Karya Sastra Metamorphoses, The Good Earth, The Seventh Seal, Dan Cat’s Cradle: Kajian Interteks

This paper aims to analyze patterns and causes of epidemics in the novels Metamorphoses, The Good Earth, The Seventh Seal, and Cat’s Cradle. Through the approach of intertextual theory and the hermeneutic method, common patterns are identified, namely family disintegration, unnatural births, and epidemics. The cause of these epidemics is infidelity or deviation within the family, seen as a divine punishment upon humanity. These findings highlight the relationship between literary texts and social phenomena, offering insights into how literary narratives reflect and shape our understanding of epidemics and human behavior. The implications of this analysis can provide a deeper understanding of human complexity and the relevance of literature in illuminating significant aspects of human experience, such as epidemics and morality.

A numerical study of a single isolated human ventricular cell response to a periodic pulse stimulus current using the Rogers–McCulloch model

Among the primary causes of cardiac arrhythmias are abnormalities in the generation of action potentials (APs) by the cardiac cells, which may be induced by alterations in the electrophysiological properties of the cells as well as the stimuli delivered to them. Through numerical simulations using the phenomenological model of Rogers–McCulloch, this study examined how external stimuli modulate the electrical activity of a single isolated human ventricular cell functioning under normal conditions. First, we investigated how the initial conditions of the two model state variables affect how the cell responds to a single rectangular current pulse. This allows for the determination of a critical curve, which separates the initial conditions that allow for AP activation from those that inhibit it. This critical curve can be used to predict AP activation not only when the cell is stimulated by a single current pulse but also by a periodic stimulus. Then, we examined the cell response to a periodic train of rectangular current pulses, with a focus on the effects of the stimulus pacing length and amplitude. Our findings demonstrated that, despite not considering any alteration in the dynamics of ionic currents through the cell membrane, the Rogers–McCulloch model was capable of reproducing some of the most common activation patterns that have been widely identified in several clinical, experimental, and numerical studies. Depending on the stimulus properties, the following activation patterns were identified: (1) AP activation in synchrony with the stimulus, with one AP activation per pulse; (2) quasi-periodic and periodic Wenckebach-like patterns, in which successive AP activations are interrupted by a skipped beat; (3) completely irregular patterns; (4) abnormal potential oscillations that interrupt the repolarization of a previously activated AP, followed or not by a skipped beat; and (5) abnormal potential oscillations that completely inhibit cell repolarization.

"It's okay because I'm just driving": an exploration of self-reported mobile phone use among Mexican drivers.

Technological advancements have the potential to enhance people's quality of life, but their misuse can have a detrimental impact on safety. A notable example is the escalating issue of distracted driving resulting from the use of mobile phones behind the wheel, leading to severe crashes and injuries. Despite these concerns, both drivers' usage patterns and their risk-related associations remain scarcely documented in Mexico. Therefore, this descriptive study aimed to examine the mobile phone usage of Mexican drivers, its relationships to risk awareness and near-miss/crash involvement, and the self-reported underlying reasons for this behavior. This cross-sectional study utilized a sample of 1,353 licensed Mexican drivers who took part in a nationwide series of interviews regarding their onboard phone use settings. A significant percentage of drivers (96.8%) recognize using a mobile phone while driving as high-risk behavior. However, only 7.4% reported completely avoiding its use while driving, with 22.4% identified as high-frequency users. Frequency was also found positively associated with the self-reported rate of near-misses and crashes. Furthermore, qualitative data analysis highlights the emergence of a 'sense of urgency' to attend to phone-related tasks in response to daily demands and life dynamics, offering a potential explanation for this behavior. The results of this study suggest common patterns of onboard mobile use among Mexican drivers concerning driving situations and associated risks. This underscores the need for increased efforts to discourage onboard phone use in the country.

SHARE-Topic: Bayesian interpretable modeling of single-cell multi-omic data

Multi-omic single-cell technologies, which simultaneously measure the transcriptional and epigenomic state of the same cell, enable understanding epigenetic mechanisms of gene regulation. However, noisy and sparse data pose fundamental statistical challenges to extract biological knowledge from complex datasets. SHARE-Topic, a Bayesian generative model of multi-omic single cell data using topic models, aims to address these challenges. SHARE-Topic identifies common patterns of co-variation between different omic layers, providing interpretable explanations for the data complexity. Tested on data from different technological platforms, SHARE-Topic provides low dimensional representations recapitulating known biology and defines associations between genes and distal regulators in individual cells.

The New Normal? The European Union’s Temporary Frameworks for State Aid

Abstract It is widely agreed that the global economy has entered a phase of heightened uncertainty. Since all downturns and slowdowns involve low aggregate demand, the authorities typically step in by increasing their own spending to protect businesses and jobs. During the Covid pandemic the European Union has witnessed an unprecedented level of State aid measures, under the hastily adopted dedicated temporary framework. Temporary rules have also been adopted to facilitate State aid supporting companies affected by the Russian invasion of Ukraine, which are still in force today (March 2023). The common pattern of crisis responses in turn allows for a more general, non-event-specific, assessment of State aid measures taken to reduce economic disturbances. Sufficient time has now passed for an attempt to take stock of these efforts. This paper therefore seeks to assess State aid measures designed to remedy serious economic disruptions, identify their weak points and recommend improvements. The analysis, preceded by a succinct description of the European Union’s State aid toolbox for crisis aid, will focus on the previously identified potential problem areas: How to determine whether an aid measure is indeed capable, in itself, of remedying the serious disturbance in the economy, especially when it is granted to a single undertaking, and how to ensure the effectiveness of State aid control. The paper will conclude with a set of recommendations.

The City Objectified: Histories of Common Patterns of Pictorial Renditions

Abstract When was the city visually regarded and depicted as a comprehensive and intact entity? Going beyond historiographical conventions and temporal boundaries, this study discusses the specific and crucial moments of discovering the image of the city as a whole, its wide-ranging skyline, full profile, and clear outer borders. Thus, histories of the formation of the distant gaze, a sort of visual withdrawal which enabled us to capture the city as a whole – as an object of visual desire – are disclosed, and attention is drawn to the common patterns of these specific pictorial renditions. Likewise, the sense of detachment is exposed when distance moves beyond its denotation of spatial stance and appears related to discovering the historical time of these urban renditions.

Make Way for the Wind—Promoting Urban Wind Corridor Planning by Integrating RS, GIS, and CFD in Urban Planning and Design to Mitigate the Heat Island Effect

Under the trend in climate change, global warming, and the increasingly serious urban heat island effect, promoting urban wind corridor planning to reduce urban temperature and mitigate the effect of urban heat islands has received widespread attention in many cities. With emerging awareness of the need to explicitly incorporate climate considerations into urban planning and design, integrating current spatial analysis and simulation tools to enhance urban wind corridor planning to obtain the best urban ventilation effect has become an increasingly important research topic in green city development. However, how to systematically carry out urban wind corridor planning by employing related technology and simulation tools is a topic that needs to be explored urgently in both theory and practice. Taking Zhumadian City in China as an example, this study proposes a method and planning approach that uses remote sensing (RS), geographic information system (GIS), and computational fluid dynamics (CFD) in an integrated way to understand urban landscape and to conduct urban wind corridor planning. The research results reveal that the urban form of Zhumadian City favors the development of urban wind corridors, and that the railway lines and some major roads in the city have the potential to be developed as the city’s main wind corridors. However, there are still ventilation barriers resulting from the existing land use model and building layout patterns that need to be adjusted. In terms of local-level analysis, the CFD simulation analysis also reveals that some common building layout patterns may result in environments with poor ventilation. Finally, based on the results of our empirical analysis and local planning environment, specific suggestions are provided on how to develop appropriate strategies for urban wind corridor planning and adjustments related to land use planning and building layout patterns in order to mitigate the impact of the urban heat island effect.

Heterogeneity in the risk of cardiovascular disease mortality after the hypertensive disorders of pregnancy across mothers' lifetime reproductive history.

Prior studies on maternal cardiovascular disease (CVD) mortality and hypertensive disorders of pregnancy (HDP) have focused only on a woman's first birth and have not accounted for successive affected pregnancies. The objective of this study is to identify mothers' risk of CVD mortality considering lifetime reproductive history. We used data from the Medical Birth Registry of Norway, the Norwegian Cause of Death Registry, and the Norwegian National Population Register to identify all mothers who gave birth from 1967 to 2020. Our outcome was mothers' CVD death before age 70. The primary exposure was the lifetime history of HDP. The secondary exposure was the order of HDP and gestational age at delivery of pregnancies with HDP. We used Cox regression models to estimate hazard ratio (HR) and 95% confidence interval (CI), adjusting for education, mother's age, and year of last birth. These models were stratified by the lifetime number of births. Among 987,378 mothers, 86,294 had HDP in at least one birth. The highest CVD mortality, relative to mothers without HDP, was among those with a pre-term HDP in their first two births, although this represented 1.0% of mothers with HDP (HR 5.12, 95% CI 2.66, 9.86). Multiparous mothers with term HDP in their first birth only had no increased risk of CVD relative to mothers without HDP (36.9% of all mothers with HDP; HR 1.12, 95% CI 0.95, 1.32). All other mothers with HDP had a 1.5- to 4-fold increased risk of CVD mortality. This study identified heterogeneity in the risk of CVD mortality among mothers with a history of HDP. A third of these mothers are not at higher risk compared to women without HDP, while some less common patterns of HDP history are associated with severe risk of CVD mortality.

إسهام كلٍّ من سمات الشخصية والذّكاء العاطفي في التنبّؤ بأنماط التسويف الأكاديمي لدى عيّنة من طالبات جامعة الملك عبد العزيز بجدّة

The study aimed to investigate the impact of personality traits and emotional intelligence on predicting academic procrastination patterns among a sample of female students at King Abdulaziz University in Jeddah. The researcher employed a descriptive correlational methodology to achieve the study objectives. The study sample consisted of 250 female students from various scientific, administrative, humanitarian, and health disciplines at King Abdulaziz University, selected randomly. The researcher utilized Abu Qouidar's (2022) Personality Traits Scale, Ben Amr's (2017) Emotional Intelligence Scale, and Faisal and Saleh's (2018) Academic Procrastination Patterns Scale in the study. The results revealed the most prevalent personality traits among the study sample, with the trait of agreeableness emerging as the most common. The findings also indicated a high level of emotional intelligence among the students. The most common academic procrastination pattern among the study sample was perfectionist procrastination. The results further demonstrated a correlation between personality traits and emotional intelligence. However, no significant correlation was found between personality traits and academic procrastination patterns, except for agreeableness, which exhibited a positive correlation with procrastination patterns. Dedication, on the other hand, showed a negative correlation with academic procrastination patterns. The remaining dimensions of personality traits were not correlated with academic procrastination patterns. Additionally, the results showed an inverse relationship between emotional intelligence and academic procrastination patterns. The findings suggested that certain personality traits (agreeableness, dedication) and emotional intelligence significantly contribute to predicting academic procrastination patterns among female students at King Abdulaziz University in Jeddah.

Air quality and urban climate improvements in the world’s most populated region during the COVID-19 pandemic

In this study, we assessed air quality (AQ) and urban climate during the mobility restrictions implemented in the Greater Tokyo Area, Japan, the world’s most populated region, in response to the COVID-19 pandemic. Observations from dense surface networks were analyzed using an interpretable machine learning approach. In parallel with a ∼50% reduction in mobility and an altered lifestyle of the population, we found limited reductions in nitrogen dioxide; decreases in fine particulate matter not entirely driven by local mobility; minor variations in ozone, with a positive (negative) tendency in areas with high (low) emissions; a decrease in air temperature consistent with mobility; and pollution levels and air temperature changes with well-defined, common spatiotemporal patterns. Specifically, cooling mainly occurred in urbanized areas with an improved AQ. Overall, although reductions in mobility were moderately effective in improving the typical indicators of urban AQ, including those known to negatively impact human health, the reductions in waste heat had a stronger impact on Tokyo’s urban heat island, suggestive of a strategy to minimize exposure to heat stress. These findings can help guide urban planning strategies and policies aimed at addressing climate change.

Superior mesenteric artery revisited using magnetic resonance angiography.

We aimed to examine the superior mesenteric artery in detail by magnetic resonance angiography to provide an alternative to other imaging methods, to reduce the exposure time of patients and physicians to X-rays and the time spent in catheter angiography, to determine the variations, positions, and locations of the celiac trunk, and to provide detailed information for surgeons and interventional radiologists using this method. The procedures were approved by the Kocaeli University Medical School Non-Interventional Clinical Research Ethics Committee (10.04.2023, approval number: 2021/51). MR angiography images of 185 patients with abdominal imaging in PACS (Picture Archiving Communication Systems) were retrospectively registered. The level of origin of the superior mesenteric artery according to the vertebral column, angle of origin, distance between the superior mesenteric artery and branches of the abdominal aorta, and branching pattern of the superior mesenteric artery were evaluated. Parameters were evaluated according to gender and age using SPSS version 25. The distance between superior mesenteric artery-inferior mesenteric artery and superior mesenteric artery-aortic bifurcation in males was higher than in females, and the difference was statistically significant. In females and the whole study group, a low, positive and significant relationship was found between age and superior mesenteric artery-sagittal angle. The most common origin site for the superior mesenteric artery, according to the vertebral column was found to be at L1 middle for males and L1 upper for females. The most common superior mesenteric artery branching pattern was classical type in both genders. Individual evaluation of the superior mesenteric artery could reduce the risks during surgical interventions, considering the relationship of the superior mesenteric artery, especially with distally located vessels, and the gender differences for the angle of origin. Furthermore, considering that interventional radiologists choose the catheter according to the angle of origin of the artery during catheter angiography procedures, individual evaluation of patients taking into account gender and age is of utmost importance.

Cellular receptors for mammalian viruses.

The interaction of viral surface components with cellular receptors and other entry factors determines key features of viral infection such as host range, tropism and virulence. Despite intensive research, our understanding of these interactions remains limited. Here, we report a systematic analysis of published work on mammalian virus receptors and attachment factors. We build a dataset twice the size of those available to date and specify the role of each factor in virus entry. We identify cellular proteins that are preferentially used as virus receptors, which tend to be plasma membrane proteins with a high propensity to interact with other proteins. Using machine learning, we assign cell surface proteins a score that predicts their ability to function as virus receptors. Our results also reveal common patterns of receptor usage among viruses and suggest that enveloped viruses tend to use a broader repertoire of alternative receptors than non-enveloped viruses, a feature that might confer them with higher interspecies transmissibility.

Root and canal morphology of the mandibular first molar: A micro-computed tomography-focused observation of literature with illustrative cases. Part 2: Internal root morphology

The endodontic intervention of the mandibular first molar can be challenging. Once root canals or any portion of them remain undiscovered and untreated, the risk of treatment failure greatly increases. The consensus is that mandibular first molars may have three or four main root canals. However, variations have been noted between populations, which include the mid-mesial canal (MM) and the mid-distal canal (MD). Authors have also attempted to classify root canal configurations to identify common patterns for diagnostic and treatment planning purposes. The introduction of micro-computed tomography (micro-CT) to root and canal morphological studies revolutionised observation of complex root canal anatomy in three dimensions and high definition. This paper is the second of two providing an overview of literature on various aspect of the external and internal root and canal morphology of the mandibular first permanent molar. The aim is to provide an overview of relevant aspects of the internal root morphology of the mandibular first molar in different populations. The content is supported by illustrative micro-CT images and a report on clinical cases where anomalies have been treated

Trade unions, refugees and immigrant labour: Has the attitude changed? The stance of Swedish blue‐collar trade unions as evidenced by sentiment analysis

AbstractThe attitude of trade unions towards migration and migrants, be it of asylum seekers or those in search of jobs and better incomes, differs substantially across European countries. No matter the original stance, a common current pattern is that of the willingness to accept migrants being eroded over time. To see whether this is the case also in a country that both proved welcoming to labour migrants and refugees during the opening decades of the new millennium, we set out to explore the attitudes of blue‐collar trade unions in Sweden. Based on a diverse set of material issuing from the unions themselves, we use sentiment analysis to assess whether there are any changes to be discerned in the opinions of the representatives of 12 blue‐collar trade unions and their national confederation. At its most general, the trend appears to turn more negative over time, yet the influence of defining events and legal changes is not so easily observed at the aggregate level. The union representing workers in the industry with the largest proportion of immigrant labour, the Hotel and Restaurant Workers' Union, is therefore selected for closer analysis. To the extent that changes can, or cannot, be observed, we relate those to major events and policy changes that have taken place over the 2010s.

Pathways from prenatal cocaine exposure to adult substance use and behavior

This is a report from the most recent adult follow-up of the longest running cohort study of prenatal cocaine exposure (PCE), in which women were enrolled prenatally and offspring were assessed in infancy, childhood, adolescence, and young adulthood. In previous studies, PCE was linked to offspring behavior problems such as early substance use and externalizing behavior problems. The current analyses examine pathways from PCE to behavioral outcomes in offspring at the 25-year assessment. Prenatal cocaine exposure was moderate in this cohort; most women decreased or discontinued use after the first trimester. During the first and third trimesters, 38% and 11% used cocaine, respectively. This represents the most common pattern of PCE in non-treatment samples. At this phase, the adult offspring were, on average, 27.3 years old (range = 25–30), had 13.4 years of education, 83% were employed, 55% were Black, and 55% were female. Offspring who were exposed to cocaine during the first trimester were significantly more likely to use marijuana in the past year, report more arrests, and have poorer scores on a decision-making task, controlling for other prenatal substance exposure, demographic, and socioeconomic factors. In mediation analyses, there were indirect pathways from PCE to current marijuana use through early initiation of marijuana use and 21-year marijuana use, and through 15-year status offenses and 21-year marijuana use. There was also an indirect pathway from PCE to lifetime arrests through early initiation of marijuana use and 21-year Conduct Disorder, although the direct pathway from PCE to arrests also remained significant. These findings are consistent with those from previous phases and are an indication that there are detrimental associations with PCE that persist across developmental stages and into adulthood.

Optimized FFNN with multichannel CSP-ICA framework of EEG signal for BCI

The electroencephalogram (EEG) of the patient is used to identify their motor intention, which is then converted into a control signal through a brain-computer interface (BCI) based on motor imagery. Whenever gathering features from EEG signals, making a BCI is difficult in part because of the enormous dimensionality of the data. Three stages make up the suggested methodology: pre-processing, extraction of features, selection, and categorization. To remove unwanted artifacts, the EEG signals are filtered by a fifth-order Butterworth multichannel band-pass filter. This decreases execution time and memory use, both of which improve system performance. Then a novel multichannel optimized CSP-ICA feature extraction technique is used to separate and eliminate non-discriminative information from discriminative information in the EEG channels. Furthermore, CSP uses the concept of an Artificial Bee Colony (ABC) algorithm to automatically identify the simultaneous global ideal frequency band and time interval combination for the extraction and classification of common spatial pattern characteristics. Finally, a Tunable optimized feed-forward neural network (FFNN) classifier is utilized to extract and categorize the temporal and frequency domain features, which employs an FFNN classifier with Tunable-Q wavelet transform. The proposed framework, therefore optimizes signal processing, enabling enhanced EEG signal classification for BCI applications. The result shows that the models that use Tunable optimized FFNN produce higher classification accuracy of more than 20% when compared to the existing models.

Scalability Limitations of Processing-in-Memory using Real System Evaluations

Processing-in-memory (PIM), where the compute is moved closer to the memory or the data, has been widely explored to accelerate emerging workloads. Recently, different PIM-based systems have been announced by memory vendors to minimize data movement and improve performance as well as energy efficiency. One critical component of PIM is the large amount of compute parallelism provided across many PIM "nodes'' or the compute units near the memory. In this work, we provide an extensive evaluation and analysis of real PIM systems based on UPMEM PIM. We show that while there are benefits of PIM, there are also scalability challenges and limitations as the number of PIM nodes increases. In particular, we show how collective communications that are commonly found in many kernels/workloads can be problematic for PIM systems. To evaluate the impact of collective communication in PIM architectures, we provide an in-depth analysis of two workloads on the UPMEM PIM system that utilize representative common collective communication patterns -- AllReduce and All-to-All communication. Specifically, we evaluate 1) embedding tables that are commonly used in recommendation systems that require AllReduce and 2) the Number Theoretic Transform (NTT) kernel which is a critical component of Fully Homomorphic Encryption (FHE) that requires All-to-All communication. We analyze the performance benefits of these workloads and show how they can be efficiently mapped to the PIM architecture through alternative data partitioning. However, since each PIM compute unit can only access its local memory, when communication is necessary between PIM nodes (or remote data is needed), communication between the compute units must be done through the host CPU, thereby severely hampering application performance. To increase the scalability (or applicability) of PIM to future workloads, we make the case for how future PIM architectures need efficient communication or interconnection networks between the PIM nodes that require both hardware and software support.